{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "c7d23cb4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: mxnet in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (1.8.0.post0)\n", "Requirement already satisfied: matplotlib in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (3.3.4)\n", "Requirement already satisfied: sagemaker in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (2.44.0)\n", "Requirement already satisfied: Pillow in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (8.2.0)\n", "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from matplotlib) (2.4.7)\n", "Requirement already satisfied: python-dateutil>=2.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from matplotlib) (2.8.1)\n", "Requirement already satisfied: cycler>=0.10 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from matplotlib) (0.10.0)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from matplotlib) (1.3.1)\n", "Requirement already satisfied: numpy>=1.15 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from matplotlib) (1.19.5)\n", "Requirement already satisfied: six in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from cycler>=0.10->matplotlib) (1.15.0)\n", "Requirement already satisfied: requests<3,>=2.20.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from mxnet) (2.25.1)\n", "Requirement already satisfied: graphviz<0.9.0,>=0.8.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from mxnet) (0.8.4)\n", "Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from requests<3,>=2.20.0->mxnet) (2020.12.5)\n", "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from requests<3,>=2.20.0->mxnet) (1.26.4)\n", "Requirement already satisfied: chardet<5,>=3.0.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from requests<3,>=2.20.0->mxnet) (3.0.4)\n", "Requirement already satisfied: idna<3,>=2.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from requests<3,>=2.20.0->mxnet) (2.10)\n", "Requirement already satisfied: protobuf>=3.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from sagemaker) (3.15.2)\n", "Requirement already satisfied: packaging>=20.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from sagemaker) (20.9)\n", "Requirement already satisfied: importlib-metadata>=1.4.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from sagemaker) (3.7.0)\n", "Requirement already satisfied: smdebug-rulesconfig==1.0.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from sagemaker) (1.0.1)\n", "Requirement already satisfied: attrs in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from sagemaker) (20.3.0)\n", "Requirement already satisfied: boto3>=1.16.32 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from sagemaker) (1.17.84)\n", "Requirement already satisfied: google-pasta in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from sagemaker) (0.2.0)\n", "Requirement already satisfied: pandas in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from sagemaker) (1.1.5)\n", "Requirement already satisfied: pathos in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from sagemaker) (0.2.7)\n", "Requirement already satisfied: protobuf3-to-dict>=0.1.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from sagemaker) (0.1.5)\n", "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from boto3>=1.16.32->sagemaker) (0.10.0)\n", "Requirement already satisfied: botocore<1.21.0,>=1.20.84 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from boto3>=1.16.32->sagemaker) (1.20.84)\n", "Requirement already satisfied: s3transfer<0.5.0,>=0.4.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from boto3>=1.16.32->sagemaker) (0.4.2)\n", "Requirement already satisfied: zipp>=0.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from importlib-metadata>=1.4.0->sagemaker) (3.4.0)\n", "Requirement already satisfied: typing-extensions>=3.6.4 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from importlib-metadata>=1.4.0->sagemaker) (3.7.4.3)\n", "Requirement already satisfied: pytz>=2017.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from pandas->sagemaker) (2021.1)\n", "Requirement already satisfied: multiprocess>=0.70.11 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from pathos->sagemaker) (0.70.11.1)\n", "Requirement already satisfied: dill>=0.3.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from pathos->sagemaker) (0.3.3)\n", "Requirement already satisfied: pox>=0.2.9 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from pathos->sagemaker) (0.2.9)\n", "Requirement already satisfied: ppft>=1.6.6.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from pathos->sagemaker) (1.6.6.3)\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install --upgrade mxnet matplotlib sagemaker Pillow" ] }, { "cell_type": "code", "execution_count": 2, "id": "02ba7213", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import numpy as np\n", "from numpy import asarray\n", "import sagemaker.amazon.common as smac\n", "import io\n", "import cv2\n", "import glob\n", "\n", "# Open the image form working directory\n", "def read_image(cv2_image_name):\n", " image_height_rs = 324\n", " image_width_rs = 486\n", "\n", " cv2_image=cv2.imread(cv2_image_name)\n", " # resize image\n", " cv2_resized_image = cv2.resize(cv2_image, (image_height_rs, image_width_rs))\n", " # reshape image\n", " cv2_reshaped_image = np.reshape(cv2_resized_image, cv2_resized_image.shape[0]*cv2_resized_image.shape[1]*cv2_resized_image.shape[2])\n", " return cv2_reshaped_image\n", "\n", "# Load images to train the model\n", "file_name_list = []\n", "train_set_vectors = []\n", "train_set_labels_array = []\n", "for filename in glob.glob('images/*'):\n", " file_name_list.append(filename)\n", " cv2_image=read_image(filename)\n", " label_value=0 if (\"_invalid\" in filename) else 1\n", " train_set_vectors.append(cv2_image) \n", " #Add labels (0 if image name includes _invalid keyword, otherwise 1)\n", " train_set_labels_array.append(np.int_(label_value))\n", "\n", "vectors = np.array([t.tolist() for t in train_set_vectors]).astype(\"float32\")\n", "train_set_labels = np.array(train_set_labels_array)\n", "labels=train_set_labels.astype(\"float32\")\n", "\n", "buf = io.BytesIO()\n", "smac.write_numpy_to_dense_tensor(buf, vectors, labels)\n", "buf.seek(0)" ] }, { "cell_type": "code", "execution_count": 3, "id": "57328c40", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "uploaded training data location: s3://sagemaker-us-east-1-627316285343/sagemaker/aws-iot-blog-scenechanges/train/scenechanges-data\n", "training artifacts will be uploaded to: s3://sagemaker-us-east-1-627316285343/sagemaker/aws-iot-blog-scenechanges/output\n" ] } ], "source": [ "import boto3\n", "import os\n", "import sagemaker\n", "\n", "sess = sagemaker.Session()\n", "key = \"scenechanges-data\"\n", "prefix = \"sagemaker/aws-iot-blog-scenechanges\"\n", "bucket = sess.default_bucket()\n", "\n", "boto3.resource(\"s3\").Bucket(bucket).Object(os.path.join(prefix, \"train\", key)).upload_fileobj(buf)\n", "s3_train_data = f\"s3://{bucket}/{prefix}/train/{key}\"\n", "print(f\"uploaded training data location: {s3_train_data}\")\n", "\n", "output_location = f\"s3://{bucket}/{prefix}/output\"\n", "print(f\"training artifacts will be uploaded to: {output_location}\")" ] }, { "cell_type": "code", "execution_count": 4, "id": "6cb65281", "metadata": {}, "outputs": [], "source": [ "from sagemaker.amazon.amazon_estimator import get_image_uri\n", "from sagemaker import get_execution_role\n", "\n", "container = sagemaker.image_uris.retrieve(\"linear-learner\", boto3.Session().region_name)\n", "role = get_execution_role()" ] }, { "cell_type": "code", "execution_count": 5, "id": "e50a3be7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2021-06-07 14:09:07 Starting - Starting the training job...\n", "2021-06-07 14:09:31 Starting - Launching requested ML instancesProfilerReport-1623074947: InProgress\n", ".........\n", "2021-06-07 14:10:51 Starting - Preparing the instances for training......\n", "2021-06-07 14:12:09 Downloading - Downloading input data\n", "2021-06-07 14:12:09 Training - Downloading the training image...\n", "2021-06-07 14:12:32 Training - Training image download completed. Training in progress.\u001b[34mDocker entrypoint called with argument(s): train\u001b[0m\n", "\u001b[34mRunning default environment configuration script\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 INFO 140185238931264] Reading default configuration from /opt/amazon/lib/python3.7/site-packages/algorithm/resources/default-input.json: {'mini_batch_size': '1000', 'epochs': '15', 'feature_dim': 'auto', 'use_bias': 'true', 'binary_classifier_model_selection_criteria': 'accuracy', 'f_beta': '1.0', 'target_recall': '0.8', 'target_precision': '0.8', 'num_models': 'auto', 'num_calibration_samples': '10000000', 'init_method': 'uniform', 'init_scale': '0.07', 'init_sigma': '0.01', 'init_bias': '0.0', 'optimizer': 'auto', 'loss': 'auto', 'margin': '1.0', 'quantile': '0.5', 'loss_insensitivity': '0.01', 'huber_delta': '1.0', 'num_classes': '1', 'accuracy_top_k': '3', 'wd': 'auto', 'l1': 'auto', 'momentum': 'auto', 'learning_rate': 'auto', 'beta_1': 'auto', 'beta_2': 'auto', 'bias_lr_mult': 'auto', 'bias_wd_mult': 'auto', 'use_lr_scheduler': 'true', 'lr_scheduler_step': 'auto', 'lr_scheduler_factor': 'auto', 'lr_scheduler_minimum_lr': 'auto', 'positive_example_weight_mult': '1.0', 'balance_multiclass_weights': 'false', 'normalize_data': 'true', 'normalize_label': 'auto', 'unbias_data': 'auto', 'unbias_label': 'auto', 'num_point_for_scaler': '10000', '_kvstore': 'auto', '_num_gpus': 'auto', '_num_kv_servers': 'auto', '_log_level': 'info', '_tuning_objective_metric': '', 'early_stopping_patience': '3', 'early_stopping_tolerance': '0.001', '_enable_profiler': 'false'}\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 INFO 140185238931264] Merging with provided configuration from /opt/ml/input/config/hyperparameters.json: {'feature_dim': 'auto', 'predictor_type': 'binary_classifier', 'mini_batch_size': '1'}\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 INFO 140185238931264] Final configuration: {'mini_batch_size': '1', 'epochs': '15', 'feature_dim': 'auto', 'use_bias': 'true', 'binary_classifier_model_selection_criteria': 'accuracy', 'f_beta': '1.0', 'target_recall': '0.8', 'target_precision': '0.8', 'num_models': 'auto', 'num_calibration_samples': '10000000', 'init_method': 'uniform', 'init_scale': '0.07', 'init_sigma': '0.01', 'init_bias': '0.0', 'optimizer': 'auto', 'loss': 'auto', 'margin': '1.0', 'quantile': '0.5', 'loss_insensitivity': '0.01', 'huber_delta': '1.0', 'num_classes': '1', 'accuracy_top_k': '3', 'wd': 'auto', 'l1': 'auto', 'momentum': 'auto', 'learning_rate': 'auto', 'beta_1': 'auto', 'beta_2': 'auto', 'bias_lr_mult': 'auto', 'bias_wd_mult': 'auto', 'use_lr_scheduler': 'true', 'lr_scheduler_step': 'auto', 'lr_scheduler_factor': 'auto', 'lr_scheduler_minimum_lr': 'auto', 'positive_example_weight_mult': '1.0', 'balance_multiclass_weights': 'false', 'normalize_data': 'true', 'normalize_label': 'auto', 'unbias_data': 'auto', 'unbias_label': 'auto', 'num_point_for_scaler': '10000', '_kvstore': 'auto', '_num_gpus': 'auto', '_num_kv_servers': 'auto', '_log_level': 'info', '_tuning_objective_metric': '', 'early_stopping_patience': '3', 'early_stopping_tolerance': '0.001', '_enable_profiler': 'false', 'predictor_type': 'binary_classifier'}\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 WARNING 140185238931264] Loggers have already been setup.\u001b[0m\n", "\u001b[34mProcess 1 is a worker.\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 INFO 140185238931264] Using default worker.\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 INFO 140185238931264] Checkpoint loading and saving are disabled.\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:28.255] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 0, \"duration\": 20, \"num_examples\": 1, \"num_bytes\": 1889620}\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 INFO 140185238931264] Create Store: local\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:28.636] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 1, \"duration\": 379, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 INFO 140185238931264] Scaler algorithm parameters\n", " \u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 INFO 140185238931264] Scaling model computed with parameters:\n", " {'stdev_label': None, 'stdev_weight': \u001b[0m\n", "\u001b[34m[32.33529 23.090532 15.46761 ... 54.806614 64.65046 81.594215]\u001b[0m\n", "\u001b[34m, 'mean_label': None, 'mean_weight': \u001b[0m\n", "\u001b[34m[39.611115 27.777779 17.555553 ... 36.11111 44.38889 56.777782]\u001b[0m\n", "\u001b[34m}\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 INFO 140185238931264] nvidia-smi: took 0.032 seconds to run.\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 INFO 140185238931264] nvidia-smi identified 0 GPUs.\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:28 INFO 140185238931264] Number of GPUs being used: 0\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075148.7633061, \"EndTime\": 1623075148.7633665, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"Meta\": \"init_train_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 19.0, \"count\": 1, \"min\": 19, \"max\": 19}, \"Total Batches Seen\": {\"sum\": 19.0, \"count\": 1, \"min\": 19, \"max\": 19}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 2.0, \"count\": 1, \"min\": 2, \"max\": 2}, \"Number of Records Since Last Reset\": {\"sum\": 0.0, \"count\": 1, \"min\": 0, \"max\": 0}, \"Number of Batches Since Last Reset\": {\"sum\": 0.0, \"count\": 1, \"min\": 0, \"max\": 0}}}\n", "\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:30.487] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 4, \"duration\": 1702, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.487491, \"EndTime\": 1623075150.4875603, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4876342, \"EndTime\": 1623075150.487644, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.476457052760654, \"count\": 1, \"min\": 12.476457052760654, \"max\": 12.476457052760654}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.487673, \"EndTime\": 1623075150.4876797, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.361758576499092, \"count\": 1, \"min\": 13.361758576499092, \"max\": 13.361758576499092}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.487706, \"EndTime\": 1623075150.487712, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711683087883, \"count\": 1, \"min\": 10.233711683087883, \"max\": 10.233711683087883}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4877357, \"EndTime\": 1623075150.4877417, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.499752826160854, \"count\": 1, \"min\": 12.499752826160854, \"max\": 12.499752826160854}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.487766, \"EndTime\": 1623075150.487772, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4877958, \"EndTime\": 1623075150.4878016, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.531444019741482, \"count\": 1, \"min\": 12.531444019741482, \"max\": 12.531444019741482}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4878252, \"EndTime\": 1623075150.4878309, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.087972693973118, \"count\": 1, \"min\": 13.087972693973118, \"max\": 13.087972693973118}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4878554, \"EndTime\": 1623075150.4878612, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.95214589436849, \"count\": 1, \"min\": 12.95214589436849, \"max\": 12.95214589436849}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.487885, \"EndTime\": 1623075150.487891, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.407593462202284, \"count\": 1, \"min\": 12.407593462202284, \"max\": 12.407593462202284}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4879124, \"EndTime\": 1623075150.4879184, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233672142028809, \"count\": 1, \"min\": 10.233672142028809, \"max\": 10.233672142028809}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4879405, \"EndTime\": 1623075150.487946, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.819551724526617, \"count\": 1, \"min\": 13.819551724526617, \"max\": 13.819551724526617}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4879704, \"EndTime\": 1623075150.487976, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4879978, \"EndTime\": 1623075150.4880033, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.276727702882555, \"count\": 1, \"min\": 9.276727702882555, \"max\": 9.276727702882555}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4880278, \"EndTime\": 1623075150.4880333, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4880543, \"EndTime\": 1623075150.4880598, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.259133368730545, \"count\": 1, \"min\": 10.259133368730545, \"max\": 10.259133368730545}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4880836, \"EndTime\": 1623075150.4880893, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.425495439105564, \"count\": 1, \"min\": 12.425495439105564, \"max\": 12.425495439105564}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4881132, \"EndTime\": 1623075150.488119, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.794863581657426, \"count\": 1, \"min\": 9.794863581657426, \"max\": 9.794863581657426}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4881399, \"EndTime\": 1623075150.488145, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.488166, \"EndTime\": 1623075150.4881716, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.409821761978996, \"count\": 1, \"min\": 12.409821761978996, \"max\": 12.409821761978996}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.488193, \"EndTime\": 1623075150.4881985, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.710938503344948, \"count\": 1, \"min\": 9.710938503344948, \"max\": 9.710938503344948}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.488219, \"EndTime\": 1623075150.4882245, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4882457, \"EndTime\": 1623075150.4882514, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233719114299069, \"count\": 1, \"min\": 10.233719114299069, \"max\": 10.233719114299069}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4882731, \"EndTime\": 1623075150.4882786, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233712808965114, \"count\": 1, \"min\": 10.233712808965114, \"max\": 10.233712808965114}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4882998, \"EndTime\": 1623075150.488305, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.28492047058262, \"count\": 1, \"min\": 12.28492047058262, \"max\": 12.28492047058262}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4883265, \"EndTime\": 1623075150.488332, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.788196139865452, \"count\": 1, \"min\": 12.788196139865452, \"max\": 12.788196139865452}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4883556, \"EndTime\": 1623075150.4883611, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.15154911412133, \"count\": 1, \"min\": 13.15154911412133, \"max\": 13.15154911412133}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4883845, \"EndTime\": 1623075150.4883902, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.699969894356197, \"count\": 1, \"min\": 12.699969894356197, \"max\": 12.699969894356197}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.488414, \"EndTime\": 1623075150.4884195, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.798401514689127, \"count\": 1, \"min\": 11.798401514689127, \"max\": 11.798401514689127}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4884434, \"EndTime\": 1623075150.488449, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.236110336871612, \"count\": 1, \"min\": 10.236110336871612, \"max\": 10.236110336871612}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.488471, \"EndTime\": 1623075150.4884768, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.866637812720406, \"count\": 1, \"min\": 11.866637812720406, \"max\": 11.866637812720406}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.4885, \"EndTime\": 1623075150.4885056, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.091642938612495, \"count\": 1, \"min\": 10.091642938612495, \"max\": 10.091642938612495}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:30 INFO 140185238931264] #quality_metric: host=algo-1, epoch=0, train binary_classification_cross_entropy_objective =13.303825166490343\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:30 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=0, criteria=binary_classification_cross_entropy_objective, value=9.276727702882555\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:30 INFO 140185238931264] Epoch 0: Loss improved. Updating best model\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:30 INFO 140185238931264] Saving model for epoch: 0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:30 INFO 140185238931264] Saved checkpoint to \"/tmp/tmpkuireo2s/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:30 INFO 140185238931264] #progress_metric: host=algo-1, completed 6.666666666666667 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075148.763747, \"EndTime\": 1623075150.540404, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 0, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 37.0, \"count\": 1, \"min\": 37, \"max\": 37}, \"Total Batches Seen\": {\"sum\": 37.0, \"count\": 1, \"min\": 37, \"max\": 37}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 3.0, \"count\": 1, \"min\": 3, \"max\": 3}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:30 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=10.130704146428062 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:32.256] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 6, \"duration\": 1715, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2562094, \"EndTime\": 1623075152.256272, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2563415, \"EndTime\": 1623075152.256351, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.606511380937365, \"count\": 1, \"min\": 8.606511380937365, \"max\": 8.606511380937365}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.256378, \"EndTime\": 1623075152.2563858, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2564163, \"EndTime\": 1623075152.2564237, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.164180980736597, \"count\": 1, \"min\": 7.164180980736597, \"max\": 7.164180980736597}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2564569, \"EndTime\": 1623075152.2564647, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2565002, \"EndTime\": 1623075152.2565086, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.256532, \"EndTime\": 1623075152.2565374, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2565584, \"EndTime\": 1623075152.2565637, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2565978, \"EndTime\": 1623075152.256606, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2566369, \"EndTime\": 1623075152.2566442, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2566779, \"EndTime\": 1623075152.256687, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2567222, \"EndTime\": 1623075152.2567308, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2567647, \"EndTime\": 1623075152.2567706, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.256796, \"EndTime\": 1623075152.2568035, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.256837, \"EndTime\": 1623075152.2568452, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2568758, \"EndTime\": 1623075152.2568817, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2569063, \"EndTime\": 1623075152.256914, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2569482, \"EndTime\": 1623075152.2569568, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.415005101097954, \"count\": 1, \"min\": 8.415005101097954, \"max\": 8.415005101097954}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2569878, \"EndTime\": 1623075152.2569938, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2570221, \"EndTime\": 1623075152.2570305, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2570655, \"EndTime\": 1623075152.2570739, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2571077, \"EndTime\": 1623075152.257116, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.25717, \"EndTime\": 1623075152.2571788, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2572076, \"EndTime\": 1623075152.257213, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2572355, \"EndTime\": 1623075152.2572439, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.615526835123697, \"count\": 1, \"min\": 14.615526835123697, \"max\": 14.615526835123697}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.257278, \"EndTime\": 1623075152.257286, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825209538157, \"count\": 1, \"min\": 13.303825209538157, \"max\": 13.303825209538157}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2573164, \"EndTime\": 1623075152.2573218, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 15.135600354936388, \"count\": 1, \"min\": 15.135600354936388, \"max\": 15.135600354936388}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2573428, \"EndTime\": 1623075152.2573502, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.979174895419495, \"count\": 1, \"min\": 13.979174895419495, \"max\": 13.979174895419495}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.257382, \"EndTime\": 1623075152.2573898, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2574248, \"EndTime\": 1623075152.2574334, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2574623, \"EndTime\": 1623075152.2574697, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.2575006, \"EndTime\": 1623075152.2575095, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:32 INFO 140185238931264] #quality_metric: host=algo-1, epoch=1, train binary_classification_cross_entropy_objective =9.21034049987793\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:32 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=1, criteria=binary_classification_cross_entropy_objective, value=6.14022699991862\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:32 INFO 140185238931264] Epoch 1: Loss improved. Updating best model\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:32 INFO 140185238931264] Saving model for epoch: 1\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:32 INFO 140185238931264] Saved checkpoint to \"/tmp/tmpg2tf90ij/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:32 INFO 140185238931264] #progress_metric: host=algo-1, completed 13.333333333333334 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075150.5406716, \"EndTime\": 1623075152.3036363, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 1, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 55.0, \"count\": 1, \"min\": 55, \"max\": 55}, \"Total Batches Seen\": {\"sum\": 55.0, \"count\": 1, \"min\": 55, \"max\": 55}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 4.0, \"count\": 1, \"min\": 4, \"max\": 4}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:32 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=10.209424899389848 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:33.835] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 8, \"duration\": 1531, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8357198, \"EndTime\": 1623075153.8357837, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8358533, \"EndTime\": 1623075153.8358629, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.035454326205784, \"count\": 1, \"min\": 7.035454326205784, \"max\": 7.035454326205784}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8359022, \"EndTime\": 1623075153.8359091, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.1635984049908075, \"count\": 1, \"min\": 7.1635984049908075, \"max\": 7.1635984049908075}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.835941, \"EndTime\": 1623075153.8359473, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8359709, \"EndTime\": 1623075153.835977, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8360014, \"EndTime\": 1623075153.8360074, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8360288, \"EndTime\": 1623075153.8360348, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8360589, \"EndTime\": 1623075153.8360648, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8360868, \"EndTime\": 1623075153.8360925, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.140227006541359, \"count\": 1, \"min\": 6.140227006541359, \"max\": 6.140227006541359}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8361146, \"EndTime\": 1623075153.8361204, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.140232583167542, \"count\": 1, \"min\": 6.140232583167542, \"max\": 6.140232583167542}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8361425, \"EndTime\": 1623075153.8361483, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.836172, \"EndTime\": 1623075153.8361778, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.330645614200169, \"count\": 1, \"min\": 5.330645614200169, \"max\": 5.330645614200169}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8362, \"EndTime\": 1623075153.8362055, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8362296, \"EndTime\": 1623075153.8362353, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8362567, \"EndTime\": 1623075153.8362625, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8362865, \"EndTime\": 1623075153.836292, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8363144, \"EndTime\": 1623075153.8363197, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.1402273443020725, \"count\": 1, \"min\": 6.1402273443020725, \"max\": 6.1402273443020725}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8363419, \"EndTime\": 1623075153.8363473, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14024284708042, \"count\": 1, \"min\": 6.14024284708042, \"max\": 6.14024284708042}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.836371, \"EndTime\": 1623075153.836377, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.836401, \"EndTime\": 1623075153.8364065, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.65001270506117, \"count\": 1, \"min\": 9.65001270506117, \"max\": 9.65001270506117}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8364286, \"EndTime\": 1623075153.8364341, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8364587, \"EndTime\": 1623075153.8364644, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.836489, \"EndTime\": 1623075153.836495, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.83652, \"EndTime\": 1623075153.8365257, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.277083926730686, \"count\": 1, \"min\": 12.277083926730686, \"max\": 12.277083926730686}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8365471, \"EndTime\": 1623075153.8365526, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.953239291906357, \"count\": 1, \"min\": 14.953239291906357, \"max\": 14.953239291906357}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.836577, \"EndTime\": 1623075153.8365827, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8366067, \"EndTime\": 1623075153.8366137, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.304339941382851, \"count\": 1, \"min\": 13.304339941382851, \"max\": 13.304339941382851}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.836638, \"EndTime\": 1623075153.8366425, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.461528721831403, \"count\": 1, \"min\": 13.461528721831403, \"max\": 13.461528721831403}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8366618, \"EndTime\": 1623075153.8366663, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.836683, \"EndTime\": 1623075153.8366873, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8367064, \"EndTime\": 1623075153.836713, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8367393, \"EndTime\": 1623075153.8367457, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:33 INFO 140185238931264] #quality_metric: host=algo-1, epoch=2, train binary_classification_cross_entropy_objective =7.163598166571723\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:33 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=2, criteria=binary_classification_cross_entropy_objective, value=5.116855833265516\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:33 INFO 140185238931264] Epoch 2: Loss improved. Updating best model\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:33 INFO 140185238931264] Saving model for epoch: 2\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:33 INFO 140185238931264] Saved checkpoint to \"/tmp/tmpm15rqee1/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:33 INFO 140185238931264] #progress_metric: host=algo-1, completed 20.0 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075152.3038378, \"EndTime\": 1623075153.882577, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 2, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 73.0, \"count\": 1, \"min\": 73, \"max\": 73}, \"Total Batches Seen\": {\"sum\": 73.0, \"count\": 1, \"min\": 73, \"max\": 73}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 5.0, \"count\": 1, \"min\": 5, \"max\": 5}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:33 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=11.400702820235702 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:35.376] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 10, \"duration\": 1493, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3761277, \"EndTime\": 1623075155.376191, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3762589, \"EndTime\": 1623075155.3762693, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3762949, \"EndTime\": 1623075155.3763013, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3763275, \"EndTime\": 1623075155.3763335, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.07011349995931, \"count\": 1, \"min\": 3.07011349995931, \"max\": 3.07011349995931}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3763564, \"EndTime\": 1623075155.3763626, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3763833, \"EndTime\": 1623075155.3763888, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3764098, \"EndTime\": 1623075155.3764155, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3764377, \"EndTime\": 1623075155.3764431, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.376464, \"EndTime\": 1623075155.3764691, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3764896, \"EndTime\": 1623075155.3764951, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.143442670918173, \"count\": 1, \"min\": 6.143442670918173, \"max\": 6.143442670918173}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3765173, \"EndTime\": 1623075155.3765233, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3765476, \"EndTime\": 1623075155.3765535, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3765755, \"EndTime\": 1623075155.3765812, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.376602, \"EndTime\": 1623075155.3766074, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3766308, \"EndTime\": 1623075155.3766363, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3766582, \"EndTime\": 1623075155.3766634, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3766842, \"EndTime\": 1623075155.37669, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3767133, \"EndTime\": 1623075155.3767188, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3767397, \"EndTime\": 1623075155.3767452, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3767717, \"EndTime\": 1623075155.3767765, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3767972, \"EndTime\": 1623075155.376804, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3768258, \"EndTime\": 1623075155.37683, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.376847, \"EndTime\": 1623075155.376851, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.376871, \"EndTime\": 1623075155.3768783, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3768995, \"EndTime\": 1623075155.3769042, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.302353572514322, \"count\": 1, \"min\": 13.302353572514322, \"max\": 13.302353572514322}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3769214, \"EndTime\": 1623075155.3769257, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3769429, \"EndTime\": 1623075155.3769472, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.327339760131306, \"count\": 1, \"min\": 13.327339760131306, \"max\": 13.327339760131306}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.376979, \"EndTime\": 1623075155.3769848, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.933623843722874, \"count\": 1, \"min\": 13.933623843722874, \"max\": 13.933623843722874}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3770065, \"EndTime\": 1623075155.3770113, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3770287, \"EndTime\": 1623075155.3770328, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.28045399983724, \"count\": 1, \"min\": 12.28045399983724, \"max\": 12.28045399983724}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3770556, \"EndTime\": 1623075155.3770633, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.3770826, \"EndTime\": 1623075155.377087, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:35 INFO 140185238931264] #quality_metric: host=algo-1, epoch=3, train binary_classification_cross_entropy_objective =4.093484666612413\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:35 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=3, criteria=binary_classification_cross_entropy_objective, value=3.07011349995931\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:35 INFO 140185238931264] Epoch 3: Loss improved. Updating best model\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:35 INFO 140185238931264] Saving model for epoch: 3\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:35 INFO 140185238931264] Saved checkpoint to \"/tmp/tmplp5fq1fb/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:35 INFO 140185238931264] #progress_metric: host=algo-1, completed 26.666666666666668 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075153.8828146, \"EndTime\": 1623075155.4271975, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 3, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 91.0, \"count\": 1, \"min\": 91, \"max\": 91}, \"Total Batches Seen\": {\"sum\": 91.0, \"count\": 1, \"min\": 91, \"max\": 91}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 6.0, \"count\": 1, \"min\": 6, \"max\": 6}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:35 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=11.654270584176366 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:37.009] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 12, \"duration\": 1582, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0096765, \"EndTime\": 1623075157.0097327, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0098028, \"EndTime\": 1623075157.009813, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0098429, \"EndTime\": 1623075157.0098515, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0098834, \"EndTime\": 1623075157.0098896, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0099218, \"EndTime\": 1623075157.009928, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0099535, \"EndTime\": 1623075157.009962, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.00999, \"EndTime\": 1623075157.0099955, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0100262, \"EndTime\": 1623075157.0100336, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0100644, \"EndTime\": 1623075157.0100722, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0101085, \"EndTime\": 1623075157.0101168, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.010153, \"EndTime\": 1623075157.0101614, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.07011349995931, \"count\": 1, \"min\": 3.07011349995931, \"max\": 3.07011349995931}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.010194, \"EndTime\": 1623075157.0101998, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.010227, \"EndTime\": 1623075157.010235, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.01026, \"EndTime\": 1623075157.0102656, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0102928, \"EndTime\": 1623075157.0103004, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0103352, \"EndTime\": 1623075157.0103445, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.01038, \"EndTime\": 1623075157.0103903, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0104194, \"EndTime\": 1623075157.0104265, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0104585, \"EndTime\": 1623075157.0104642, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0104933, \"EndTime\": 1623075157.0105011, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.010526, \"EndTime\": 1623075157.0105312, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.28045399983724, \"count\": 1, \"min\": 12.28045399983724, \"max\": 12.28045399983724}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0105596, \"EndTime\": 1623075157.0105677, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.010602, \"EndTime\": 1623075157.0106106, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0106468, \"EndTime\": 1623075157.010654, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0106797, \"EndTime\": 1623075157.0106885, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0107222, \"EndTime\": 1623075157.0107312, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0107675, \"EndTime\": 1623075157.0107737, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.010803, \"EndTime\": 1623075157.0108085, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0108402, \"EndTime\": 1623075157.010849, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.010883, \"EndTime\": 1623075157.0108917, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0109258, \"EndTime\": 1623075157.010932, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.0109663, \"EndTime\": 1623075157.0109756, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.28045399983724, \"count\": 1, \"min\": 12.28045399983724, \"max\": 12.28045399983724}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:37 INFO 140185238931264] #quality_metric: host=algo-1, epoch=4, train binary_classification_cross_entropy_objective =2.0467423333062067\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:37 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=4, criteria=binary_classification_cross_entropy_objective, value=2.0467423333062067\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:37 INFO 140185238931264] Epoch 4: Loss improved. Updating best model\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:37 INFO 140185238931264] Saving model for epoch: 4\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:37 INFO 140185238931264] Saved checkpoint to \"/tmp/tmpkea34uqf/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:37 INFO 140185238931264] #progress_metric: host=algo-1, completed 33.333333333333336 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075155.427402, \"EndTime\": 1623075157.0606666, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 4, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 109.0, \"count\": 1, \"min\": 109, \"max\": 109}, \"Total Batches Seen\": {\"sum\": 109.0, \"count\": 1, \"min\": 109, \"max\": 109}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 7.0, \"count\": 1, \"min\": 7, \"max\": 7}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:37 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=11.020161293854047 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:38.563] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 14, \"duration\": 1502, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.56381, \"EndTime\": 1623075158.563871, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.563941, \"EndTime\": 1623075158.5639513, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.56398, \"EndTime\": 1623075158.5639865, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.07011349995931, \"count\": 1, \"min\": 3.07011349995931, \"max\": 3.07011349995931}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5640147, \"EndTime\": 1623075158.5640206, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.3690819475385876, \"count\": 1, \"min\": 3.3690819475385876, \"max\": 3.3690819475385876}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5640423, \"EndTime\": 1623075158.564047, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5640726, \"EndTime\": 1623075158.5640776, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5640976, \"EndTime\": 1623075158.5641024, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5641196, \"EndTime\": 1623075158.564124, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5641549, \"EndTime\": 1623075158.5641608, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.564185, \"EndTime\": 1623075158.5641897, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.709079962426687, \"count\": 1, \"min\": 3.709079962426687, \"max\": 3.709079962426687}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5642078, \"EndTime\": 1623075158.5642126, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5642319, \"EndTime\": 1623075158.5642393, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5642667, \"EndTime\": 1623075158.5642724, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.564295, \"EndTime\": 1623075158.5642998, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.07011349995931, \"count\": 1, \"min\": 3.07011349995931, \"max\": 3.07011349995931}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.564319, \"EndTime\": 1623075158.5643237, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5643413, \"EndTime\": 1623075158.564346, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5643754, \"EndTime\": 1623075158.5643816, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5644057, \"EndTime\": 1623075158.5644107, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5644298, \"EndTime\": 1623075158.5644345, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5644543, \"EndTime\": 1623075158.564463, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5644877, \"EndTime\": 1623075158.5644941, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5645187, \"EndTime\": 1623075158.5645235, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5645409, \"EndTime\": 1623075158.5645454, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5645618, \"EndTime\": 1623075158.5645669, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5645957, \"EndTime\": 1623075158.5646026, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5646267, \"EndTime\": 1623075158.5646315, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.564656, \"EndTime\": 1623075158.5646636, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5646963, \"EndTime\": 1623075158.5647042, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5647368, \"EndTime\": 1623075158.5647423, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5647745, \"EndTime\": 1623075158.5647829, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.686249203152126, \"count\": 1, \"min\": 10.686249203152126, \"max\": 10.686249203152126}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5648115, \"EndTime\": 1623075158.5648172, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.5648503, \"EndTime\": 1623075158.5648594, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233722585187934, \"count\": 1, \"min\": 10.233722585187934, \"max\": 10.233722585187934}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:38 INFO 140185238931264] #quality_metric: host=algo-1, epoch=5, train binary_classification_cross_entropy_objective =1.0233711666531033\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:38 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=5, criteria=binary_classification_cross_entropy_objective, value=1.0233711666531033\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:38 INFO 140185238931264] Epoch 5: Loss improved. Updating best model\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:38 INFO 140185238931264] Saving model for epoch: 5\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:38 INFO 140185238931264] Saved checkpoint to \"/tmp/tmprpt4ngcy/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:38 INFO 140185238931264] #progress_metric: host=algo-1, completed 40.0 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075157.061175, \"EndTime\": 1623075158.615019, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 5, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 127.0, \"count\": 1, \"min\": 127, \"max\": 127}, \"Total Batches Seen\": {\"sum\": 127.0, \"count\": 1, \"min\": 127, \"max\": 127}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 8.0, \"count\": 1, \"min\": 8, \"max\": 8}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:38 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=11.583319767865568 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:40.126] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 16, \"duration\": 1511, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.126998, \"EndTime\": 1623075160.1270592, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1271276, \"EndTime\": 1623075160.1271374, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1271675, \"EndTime\": 1623075160.1271744, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1272008, \"EndTime\": 1623075160.1272068, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1272306, \"EndTime\": 1623075160.1272366, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1272588, \"EndTime\": 1623075160.1272647, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1272871, \"EndTime\": 1623075160.1272926, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1273143, \"EndTime\": 1623075160.12732, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.127344, \"EndTime\": 1623075160.1273499, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0452325724893146, \"count\": 1, \"min\": 1.0452325724893146, \"max\": 1.0452325724893146}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1273735, \"EndTime\": 1623075160.1273794, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.051676586270332, \"count\": 1, \"min\": 7.051676586270332, \"max\": 7.051676586270332}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1274033, \"EndTime\": 1623075160.1274092, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.5489995744493275, \"count\": 1, \"min\": 4.5489995744493275, \"max\": 4.5489995744493275}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1274333, \"EndTime\": 1623075160.127439, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1274602, \"EndTime\": 1623075160.127466, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1274898, \"EndTime\": 1623075160.1274955, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.127519, \"EndTime\": 1623075160.1275249, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1275468, \"EndTime\": 1623075160.127554, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1275737, \"EndTime\": 1623075160.1275783, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1275952, \"EndTime\": 1623075160.1275997, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1276183, \"EndTime\": 1623075160.1276226, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1276393, \"EndTime\": 1623075160.1276436, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.12766, \"EndTime\": 1623075160.1276643, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1276834, \"EndTime\": 1623075160.1276877, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.127705, \"EndTime\": 1623075160.1277094, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.127726, \"EndTime\": 1623075160.1277304, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1277473, \"EndTime\": 1623075160.1277516, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1277702, \"EndTime\": 1623075160.1277747, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1277936, \"EndTime\": 1623075160.127798, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.127816, \"EndTime\": 1623075160.1278203, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1278367, \"EndTime\": 1623075160.127841, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1278574, \"EndTime\": 1623075160.1278617, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.280443403455946, \"count\": 1, \"min\": 12.280443403455946, \"max\": 12.280443403455946}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1278782, \"EndTime\": 1623075160.1278825, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.127899, \"EndTime\": 1623075160.1279032, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.151691224839952, \"count\": 1, \"min\": 12.151691224839952, \"max\": 12.151691224839952}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:40 INFO 140185238931264] #quality_metric: host=algo-1, epoch=6, train binary_classification_cross_entropy_objective =2.0467423333062067\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:40 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=6, criteria=binary_classification_cross_entropy_objective, value=1.0233711666531033\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:40 INFO 140185238931264] Saving model for epoch: 6\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:40 INFO 140185238931264] Saved checkpoint to \"/tmp/tmp_td6sq86/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:40 INFO 140185238931264] #progress_metric: host=algo-1, completed 46.666666666666664 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075158.6152325, \"EndTime\": 1623075160.1742396, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 6, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 145.0, \"count\": 1, \"min\": 145, \"max\": 145}, \"Total Batches Seen\": {\"sum\": 145.0, \"count\": 1, \"min\": 145, \"max\": 145}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 9.0, \"count\": 1, \"min\": 9, \"max\": 9}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:40 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=11.54496570648075 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:41.703] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 18, \"duration\": 1529, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7039757, \"EndTime\": 1623075161.7040412, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.506384558147854, \"count\": 1, \"min\": 6.506384558147854, \"max\": 6.506384558147854}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7041116, \"EndTime\": 1623075161.7041216, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.7013000912136502, \"count\": 1, \"min\": 1.7013000912136502, \"max\": 1.7013000912136502}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7041478, \"EndTime\": 1623075161.7041538, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.704182, \"EndTime\": 1623075161.704188, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7042139, \"EndTime\": 1623075161.7042198, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7042441, \"EndTime\": 1623075161.7042499, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7042754, \"EndTime\": 1623075161.704281, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7043052, \"EndTime\": 1623075161.704311, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7043343, \"EndTime\": 1623075161.70434, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7043636, \"EndTime\": 1623075161.704369, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.704391, \"EndTime\": 1623075161.7043962, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.8566862212287054, \"count\": 1, \"min\": 3.8566862212287054, \"max\": 3.8566862212287054}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.704422, \"EndTime\": 1623075161.7044277, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7044497, \"EndTime\": 1623075161.704455, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7044787, \"EndTime\": 1623075161.7044845, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7045083, \"EndTime\": 1623075161.704514, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7045379, \"EndTime\": 1623075161.7045436, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.704568, \"EndTime\": 1623075161.7045732, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.140196906195746, \"count\": 1, \"min\": 6.140196906195746, \"max\": 6.140196906195746}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7045975, \"EndTime\": 1623075161.7046032, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7046254, \"EndTime\": 1623075161.7046309, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7046547, \"EndTime\": 1623075161.70466, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.2445802688598633, \"count\": 1, \"min\": 3.2445802688598633, \"max\": 3.2445802688598633}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7046824, \"EndTime\": 1623075161.7046876, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7047117, \"EndTime\": 1623075161.7047174, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.704739, \"EndTime\": 1623075161.7047443, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7047665, \"EndTime\": 1623075161.704772, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.704796, \"EndTime\": 1623075161.7048018, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7048256, \"EndTime\": 1623075161.7048311, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7048552, \"EndTime\": 1623075161.704861, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.704885, \"EndTime\": 1623075161.7048903, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7049139, \"EndTime\": 1623075161.7049193, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7049406, \"EndTime\": 1623075161.7049463, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7049706, \"EndTime\": 1623075161.704976, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7049987, \"EndTime\": 1623075161.705004, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:41 INFO 140185238931264] #quality_metric: host=algo-1, epoch=7, train binary_classification_cross_entropy_objective =6.506384558147854\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:41 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=7, criteria=binary_classification_cross_entropy_objective, value=1.0233711666531033\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:41 INFO 140185238931264] Saving model for epoch: 7\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:41 INFO 140185238931264] Saved checkpoint to \"/tmp/tmpsrtor_jk/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:41 INFO 140185238931264] #progress_metric: host=algo-1, completed 53.333333333333336 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075160.1744509, \"EndTime\": 1623075161.7492542, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 7, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 163.0, \"count\": 1, \"min\": 163, \"max\": 163}, \"Total Batches Seen\": {\"sum\": 163.0, \"count\": 1, \"min\": 163, \"max\": 163}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 10.0, \"count\": 1, \"min\": 10, \"max\": 10}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:41 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=11.429178352320534 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:43.408] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 20, \"duration\": 1659, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.408795, \"EndTime\": 1623075163.4088593, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.140227016475468, \"count\": 1, \"min\": 6.140227016475468, \"max\": 6.140227016475468}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4089258, \"EndTime\": 1623075163.4089358, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.0703920795062407, \"count\": 1, \"min\": 3.0703920795062407, \"max\": 3.0703920795062407}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4089644, \"EndTime\": 1623075163.408971, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.408994, \"EndTime\": 1623075163.4090002, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4090226, \"EndTime\": 1623075163.409028, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4090524, \"EndTime\": 1623075163.409058, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4090803, \"EndTime\": 1623075163.409086, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.409107, \"EndTime\": 1623075163.4091122, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4091558, \"EndTime\": 1623075163.409162, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4091837, \"EndTime\": 1623075163.4091895, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.07011349995931, \"count\": 1, \"min\": 3.07011349995931, \"max\": 3.07011349995931}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.409211, \"EndTime\": 1623075163.4092164, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4092402, \"EndTime\": 1623075163.4092457, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4092662, \"EndTime\": 1623075163.4092715, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4092941, \"EndTime\": 1623075163.4092996, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4093218, \"EndTime\": 1623075163.4093273, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.409349, \"EndTime\": 1623075163.4093542, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4093814, \"EndTime\": 1623075163.409387, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.3328710661994085, \"count\": 1, \"min\": 4.3328710661994085, \"max\": 4.3328710661994085}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4094083, \"EndTime\": 1623075163.4094136, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.8555977079603405, \"count\": 1, \"min\": 5.8555977079603405, \"max\": 5.8555977079603405}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.409435, \"EndTime\": 1623075163.4094405, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163654451924635, \"count\": 1, \"min\": 7.163654451924635, \"max\": 7.163654451924635}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4094641, \"EndTime\": 1623075163.4094696, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4094934, \"EndTime\": 1623075163.4094992, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4095213, \"EndTime\": 1623075163.409527, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.409548, \"EndTime\": 1623075163.4095533, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4095771, \"EndTime\": 1623075163.4095829, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4096045, \"EndTime\": 1623075163.40961, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4096377, \"EndTime\": 1623075163.4096425, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.409664, \"EndTime\": 1623075163.4096706, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4097013, \"EndTime\": 1623075163.4097085, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4097347, \"EndTime\": 1623075163.4097397, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4097567, \"EndTime\": 1623075163.4097607, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.28045399983724, \"count\": 1, \"min\": 12.28045399983724, \"max\": 12.28045399983724}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4097774, \"EndTime\": 1623075163.4097817, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4097984, \"EndTime\": 1623075163.4098027, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:43 INFO 140185238931264] #quality_metric: host=algo-1, epoch=8, train binary_classification_cross_entropy_objective =6.140227016475468\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:43 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=8, criteria=binary_classification_cross_entropy_objective, value=0.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:43 INFO 140185238931264] Epoch 8: Loss improved. Updating best model\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:43 INFO 140185238931264] Saving model for epoch: 8\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:43 INFO 140185238931264] Saved checkpoint to \"/tmp/tmptu9yc_fm/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:43 INFO 140185238931264] #progress_metric: host=algo-1, completed 60.0 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075161.7494664, \"EndTime\": 1623075163.4577258, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 8, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 181.0, \"count\": 1, \"min\": 181, \"max\": 181}, \"Total Batches Seen\": {\"sum\": 181.0, \"count\": 1, \"min\": 181, \"max\": 181}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 11.0, \"count\": 1, \"min\": 11, \"max\": 11}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:43 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=10.536328523396456 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:45.050] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 22, \"duration\": 1592, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0505211, \"EndTime\": 1623075165.0505881, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.050662, \"EndTime\": 1623075165.050675, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0507038, \"EndTime\": 1623075165.0507102, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0507374, \"EndTime\": 1623075165.0507433, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0507782, \"EndTime\": 1623075165.0507853, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0508182, \"EndTime\": 1623075165.050827, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0508575, \"EndTime\": 1623075165.0508661, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0508924, \"EndTime\": 1623075165.0508983, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0509276, \"EndTime\": 1623075165.050933, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.2697327931722004, \"count\": 1, \"min\": 1.2697327931722004, \"max\": 1.2697327931722004}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0509632, \"EndTime\": 1623075165.050971, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233709547254775, \"count\": 1, \"min\": 1.0233709547254775, \"max\": 1.0233709547254775}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0510023, \"EndTime\": 1623075165.0510108, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0477371035764613, \"count\": 1, \"min\": 2.0477371035764613, \"max\": 2.0477371035764613}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.051031, \"EndTime\": 1623075165.0510361, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0510557, \"EndTime\": 1623075165.0510604, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0510807, \"EndTime\": 1623075165.051085, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0511026, \"EndTime\": 1623075165.0511074, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0511289, \"EndTime\": 1623075165.0511367, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0511599, \"EndTime\": 1623075165.0511646, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14023091078343, \"count\": 1, \"min\": 6.14023091078343, \"max\": 6.14023091078343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0511863, \"EndTime\": 1623075165.0511937, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0512192, \"EndTime\": 1623075165.051224, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0512419, \"EndTime\": 1623075165.0512464, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.07011349995931, \"count\": 1, \"min\": 3.07011349995931, \"max\": 3.07011349995931}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0512636, \"EndTime\": 1623075165.0512679, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0512981, \"EndTime\": 1623075165.0513031, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0513272, \"EndTime\": 1623075165.0513322, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0513542, \"EndTime\": 1623075165.0513594, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.051392, \"EndTime\": 1623075165.0514004, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0514338, \"EndTime\": 1623075165.0514429, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0514784, \"EndTime\": 1623075165.051487, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.051523, \"EndTime\": 1623075165.051529, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0515485, \"EndTime\": 1623075165.051553, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0515733, \"EndTime\": 1623075165.0515778, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0516078, \"EndTime\": 1623075165.051613, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.0516317, \"EndTime\": 1623075165.0516365, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.009132438235813, \"count\": 1, \"min\": 12.009132438235813, \"max\": 12.009132438235813}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:45 INFO 140185238931264] #quality_metric: host=algo-1, epoch=9, train binary_classification_cross_entropy_objective =7.163598166571723\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:45 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=9, criteria=binary_classification_cross_entropy_objective, value=0.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:45 INFO 140185238931264] Saving model for epoch: 9\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:45 INFO 140185238931264] Saved checkpoint to \"/tmp/tmp36ayqn_u/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:45 INFO 140185238931264] #progress_metric: host=algo-1, completed 66.66666666666667 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075163.4579463, \"EndTime\": 1623075165.097108, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 9, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 199.0, \"count\": 1, \"min\": 199, \"max\": 199}, \"Total Batches Seen\": {\"sum\": 199.0, \"count\": 1, \"min\": 199, \"max\": 199}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 12.0, \"count\": 1, \"min\": 12, \"max\": 12}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:45 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=10.980220688010215 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:46.569] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 24, \"duration\": 1471, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5695367, \"EndTime\": 1623075166.5696015, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116863184991719, \"count\": 1, \"min\": 5.116863184991719, \"max\": 5.116863184991719}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5696733, \"EndTime\": 1623075166.5696838, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.8002913263108995, \"count\": 1, \"min\": 1.8002913263108995, \"max\": 1.8002913263108995}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5697114, \"EndTime\": 1623075166.5697184, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5697515, \"EndTime\": 1623075166.5697577, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.35242411825392, \"count\": 1, \"min\": 4.35242411825392, \"max\": 4.35242411825392}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5697901, \"EndTime\": 1623075166.5697973, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.07011349995931, \"count\": 1, \"min\": 3.07011349995931, \"max\": 3.07011349995931}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.569827, \"EndTime\": 1623075166.569834, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.569864, \"EndTime\": 1623075166.5698736, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5699058, \"EndTime\": 1623075166.5699139, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5699492, \"EndTime\": 1623075166.5699577, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5699952, \"EndTime\": 1623075166.570004, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5700336, \"EndTime\": 1623075166.5700395, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5700727, \"EndTime\": 1623075166.5700822, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5701172, \"EndTime\": 1623075166.5701263, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.570156, \"EndTime\": 1623075166.5701618, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5701962, \"EndTime\": 1623075166.5702062, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.570234, \"EndTime\": 1623075166.57024, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5702722, \"EndTime\": 1623075166.5702817, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.186969333224827, \"count\": 1, \"min\": 8.186969333224827, \"max\": 8.186969333224827}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.570312, \"EndTime\": 1623075166.5703177, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5703382, \"EndTime\": 1623075166.5703464, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 8.829153272840712, \"count\": 1, \"min\": 8.829153272840712, \"max\": 8.829153272840712}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.57037, \"EndTime\": 1623075166.5703757, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5704074, \"EndTime\": 1623075166.5704167, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5704536, \"EndTime\": 1623075166.570461, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5704877, \"EndTime\": 1623075166.5704935, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5705209, \"EndTime\": 1623075166.5705307, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.570567, \"EndTime\": 1623075166.5705738, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5706007, \"EndTime\": 1623075166.5706074, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.570641, \"EndTime\": 1623075166.57065, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5706768, \"EndTime\": 1623075166.570682, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5707128, \"EndTime\": 1623075166.5707219, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233812612559026, \"count\": 1, \"min\": 10.233812612559026, \"max\": 10.233812612559026}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5707574, \"EndTime\": 1623075166.5707645, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5707896, \"EndTime\": 1623075166.5707965, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233768518703679, \"count\": 1, \"min\": 10.233768518703679, \"max\": 10.233768518703679}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.5708313, \"EndTime\": 1623075166.57084, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:46 INFO 140185238931264] #quality_metric: host=algo-1, epoch=10, train binary_classification_cross_entropy_objective =5.116863184991719\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:46 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=10, criteria=binary_classification_cross_entropy_objective, value=0.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:46 INFO 140185238931264] Saving model for epoch: 10\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:46 INFO 140185238931264] Saved checkpoint to \"/tmp/tmpnu27qi2p/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:46 INFO 140185238931264] #progress_metric: host=algo-1, completed 73.33333333333333 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075165.097881, \"EndTime\": 1623075166.6162038, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 10, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 217.0, \"count\": 1, \"min\": 217, \"max\": 217}, \"Total Batches Seen\": {\"sum\": 217.0, \"count\": 1, \"min\": 217, \"max\": 217}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 13.0, \"count\": 1, \"min\": 13, \"max\": 13}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:46 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=11.854282593263747 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:48.185] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 26, \"duration\": 1568, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1853096, \"EndTime\": 1623075168.185374, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1854439, \"EndTime\": 1623075168.185454, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.716623889075385, \"count\": 1, \"min\": 3.716623889075385, \"max\": 3.716623889075385}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1854813, \"EndTime\": 1623075168.1854882, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1855147, \"EndTime\": 1623075168.1855211, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1855457, \"EndTime\": 1623075168.1855521, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1855798, \"EndTime\": 1623075168.1855857, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1856086, \"EndTime\": 1623075168.1856146, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1856413, \"EndTime\": 1623075168.185647, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.185666, \"EndTime\": 1623075168.185672, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1856935, \"EndTime\": 1623075168.1856992, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.185718, \"EndTime\": 1623075168.185724, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1857471, \"EndTime\": 1623075168.185753, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1857743, \"EndTime\": 1623075168.185779, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1858099, \"EndTime\": 1623075168.1858172, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1858397, \"EndTime\": 1623075168.1858447, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1858613, \"EndTime\": 1623075168.1858656, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1858828, \"EndTime\": 1623075168.1858914, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1859155, \"EndTime\": 1623075168.1859205, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1859434, \"EndTime\": 1623075168.1859481, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.07011349995931, \"count\": 1, \"min\": 3.07011349995931, \"max\": 3.07011349995931}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.185965, \"EndTime\": 1623075168.1859713, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.08874974317084, \"count\": 1, \"min\": 3.08874974317084, \"max\": 3.08874974317084}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1859903, \"EndTime\": 1623075168.185995, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1860242, \"EndTime\": 1623075168.186031, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.186053, \"EndTime\": 1623075168.1860578, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 9.21034049987793, \"count\": 1, \"min\": 9.21034049987793, \"max\": 9.21034049987793}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1860747, \"EndTime\": 1623075168.1860788, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1860962, \"EndTime\": 1623075168.1861005, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1861174, \"EndTime\": 1623075168.1861217, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.186141, \"EndTime\": 1623075168.1861455, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1861622, \"EndTime\": 1623075168.1861663, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1861923, \"EndTime\": 1623075168.1861975, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.1862235, \"EndTime\": 1623075168.1862319, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.186256, \"EndTime\": 1623075168.1862607, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.186288, \"EndTime\": 1623075168.1862953, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 12.28045399983724, \"count\": 1, \"min\": 12.28045399983724, \"max\": 12.28045399983724}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:48 INFO 140185238931264] #quality_metric: host=algo-1, epoch=11, train binary_classification_cross_entropy_objective =2.0467423333062067\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:48 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=11, criteria=binary_classification_cross_entropy_objective, value=0.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:48 INFO 140185238931264] Saving model for epoch: 11\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:48 INFO 140185238931264] Saved checkpoint to \"/tmp/tmpdy7kb9uz/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:48 INFO 140185238931264] #progress_metric: host=algo-1, completed 80.0 % of epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075166.6164436, \"EndTime\": 1623075168.232096, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 11, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 235.0, \"count\": 1, \"min\": 235, \"max\": 235}, \"Total Batches Seen\": {\"sum\": 235.0, \"count\": 1, \"min\": 235, \"max\": 235}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 14.0, \"count\": 1, \"min\": 14, \"max\": 14}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:48 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=11.140206928525876 records/second\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:49.799] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 28, \"duration\": 1566, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.7996001, \"EndTime\": 1623075169.799683, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 0}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.7997627, \"EndTime\": 1623075169.799778, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 1}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 7.163598166571723, \"count\": 1, \"min\": 7.163598166571723, \"max\": 7.163598166571723}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.7998192, \"EndTime\": 1623075169.79983, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 2}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.7998683, \"EndTime\": 1623075169.799878, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 3}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 3.07011349995931, \"count\": 1, \"min\": 3.07011349995931, \"max\": 3.07011349995931}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.799914, \"EndTime\": 1623075169.7999232, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 4}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.7999535, \"EndTime\": 1623075169.7999623, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 5}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.799997, \"EndTime\": 1623075169.800006, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 6}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8000343, \"EndTime\": 1623075169.8000424, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 7}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8000743, \"EndTime\": 1623075169.800083, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 8}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.800117, \"EndTime\": 1623075169.8001432, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 9}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 1.0233711666531033, \"count\": 1, \"min\": 1.0233711666531033, \"max\": 1.0233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.800177, \"EndTime\": 1623075169.8001864, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 10}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8002179, \"EndTime\": 1623075169.800227, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 11}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8002572, \"EndTime\": 1623075169.8002663, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 12}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8003, \"EndTime\": 1623075169.8003073, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 13}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 2.0467423333062067, \"count\": 1, \"min\": 2.0467423333062067, \"max\": 2.0467423333062067}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.800333, \"EndTime\": 1623075169.8003397, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 14}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.800368, \"EndTime\": 1623075169.8003764, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 15}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8004105, \"EndTime\": 1623075169.8004193, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 16}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 5.116855833265516, \"count\": 1, \"min\": 5.116855833265516, \"max\": 5.116855833265516}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8004537, \"EndTime\": 1623075169.800463, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 17}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 4.093484666612413, \"count\": 1, \"min\": 4.093484666612413, \"max\": 4.093484666612413}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8004978, \"EndTime\": 1623075169.8005068, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 18}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 0.0, \"count\": 1, \"min\": 0.0, \"max\": 0.0}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8005373, \"EndTime\": 1623075169.8005466, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 19}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 6.14022699991862, \"count\": 1, \"min\": 6.14022699991862, \"max\": 6.14022699991862}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8006108, \"EndTime\": 1623075169.8006208, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 20}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 10.233711666531033, \"count\": 1, \"min\": 10.233711666531033, \"max\": 10.233711666531033}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.800656, \"EndTime\": 1623075169.8006644, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 21}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8006957, \"EndTime\": 1623075169.8007033, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 22}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8007324, \"EndTime\": 1623075169.80074, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 23}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.80077, \"EndTime\": 1623075169.8007784, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 24}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8008113, \"EndTime\": 1623075169.8008192, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 25}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8008542, \"EndTime\": 1623075169.800863, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 26}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 13.303825166490343, \"count\": 1, \"min\": 13.303825166490343, \"max\": 13.303825166490343}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8008938, \"EndTime\": 1623075169.8009014, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 27}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.800932, \"EndTime\": 1623075169.80094, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 28}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8009727, \"EndTime\": 1623075169.8009813, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 29}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 14.327196333143446, \"count\": 1, \"min\": 14.327196333143446, \"max\": 14.327196333143446}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8010151, \"EndTime\": 1623075169.8010235, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 30}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075169.8010554, \"EndTime\": 1623075169.8010635, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"model\": 31}, \"Metrics\": {\"train_binary_classification_cross_entropy_objective\": {\"sum\": 11.257082833184135, \"count\": 1, \"min\": 11.257082833184135, \"max\": 11.257082833184135}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #quality_metric: host=algo-1, epoch=12, train binary_classification_cross_entropy_objective =0.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #early_stopping_criteria_metric: host=algo-1, epoch=12, criteria=binary_classification_cross_entropy_objective, value=0.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] Saving model for epoch: 12\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] Saved checkpoint to \"/tmp/tmp5_bb8bu9/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] Early stop condition met. Stopping training.\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #progress_metric: host=algo-1, completed 100 % epochs\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075168.2326028, \"EndTime\": 1623075169.8487985, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\", \"epoch\": 12, \"Meta\": \"training_data_iter\"}, \"Metrics\": {\"Total Records Seen\": {\"sum\": 253.0, \"count\": 1, \"min\": 253, \"max\": 253}, \"Total Batches Seen\": {\"sum\": 253.0, \"count\": 1, \"min\": 253, \"max\": 253}, \"Max Records Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Max Batches Seen Between Resets\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Reset Count\": {\"sum\": 15.0, \"count\": 1, \"min\": 15, \"max\": 15}, \"Number of Records Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}, \"Number of Batches Since Last Reset\": {\"sum\": 18.0, \"count\": 1, \"min\": 18, \"max\": 18}}}\n", "\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #throughput_metric: host=algo-1, train throughput=11.136458638028932 records/second\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 WARNING 140185238931264] wait_for_all_workers will not sync workers since the kv store is not running distributed\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 WARNING 140185238931264] wait_for_all_workers will not sync workers since the kv store is not running distributed\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:49.853] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 30, \"duration\": 3, \"num_examples\": 1, \"num_bytes\": 1889620}\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:49.937] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 33, \"duration\": 79, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m[2021-06-07 14:12:49.990] [tensorio] [info] epoch_stats={\"data_pipeline\": \"/opt/ml/input/data/train\", \"epoch\": 35, \"duration\": 41, \"num_examples\": 18, \"num_bytes\": 34013160}\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #train_score (algo-1) : ('binary_classification_cross_entropy_objective', 0.0)\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #train_score (algo-1) : ('binary_classification_accuracy', 1.0)\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #train_score (algo-1) : ('binary_f_1.000', 1.0)\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #train_score (algo-1) : ('precision', 1.0)\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #train_score (algo-1) : ('recall', 1.0)\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #train_score (algo-1) : ('roc_auc_score', 1.0)\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #quality_metric: host=algo-1, train binary_classification_cross_entropy_objective =0.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #quality_metric: host=algo-1, train binary_classification_accuracy =1.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #quality_metric: host=algo-1, train binary_f_1.000 =1.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #quality_metric: host=algo-1, train precision =1.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #quality_metric: host=algo-1, train recall =1.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] #quality_metric: host=algo-1, train roc_auc_score =1.0\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] Best model found for hyperparameters: {\"optimizer\": \"adam\", \"learning_rate\": 0.005, \"wd\": 0.01, \"l1\": 0.0, \"lr_scheduler_step\": 100, \"lr_scheduler_factor\": 0.99, \"lr_scheduler_minimum_lr\": 0.0001}\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:49 INFO 140185238931264] Saved checkpoint to \"/tmp/tmpol52_no0/mx-mod-0000.params\"\u001b[0m\n", "\u001b[34m[06/07/2021 14:12:50 INFO 140185238931264] Test data is not provided.\u001b[0m\n", "\u001b[34m#metrics {\"StartTime\": 1623075148.2350326, \"EndTime\": 1623075170.0084994, \"Dimensions\": {\"Algorithm\": \"Linear Learner\", \"Host\": \"algo-1\", \"Operation\": \"training\"}, \"Metrics\": {\"initialize.time\": {\"sum\": 522.6175785064697, \"count\": 1, \"min\": 522.6175785064697, \"max\": 522.6175785064697}, \"epochs\": {\"sum\": 15.0, \"count\": 1, \"min\": 15, \"max\": 15}, \"check_early_stopping.time\": {\"sum\": 7.961511611938477, \"count\": 13, \"min\": 0.23031234741210938, \"max\": 1.054525375366211}, \"update.time\": {\"sum\": 20904.43205833435, \"count\": 13, \"min\": 1507.5700283050537, \"max\": 1758.253812789917}, \"finalize.time\": {\"sum\": 145.00784873962402, \"count\": 1, \"min\": 145.00784873962402, \"max\": 145.00784873962402}, \"setuptime\": {\"sum\": 20.384788513183594, \"count\": 1, \"min\": 20.384788513183594, \"max\": 20.384788513183594}, \"totaltime\": {\"sum\": 21990.928649902344, \"count\": 1, \"min\": 21990.928649902344, \"max\": 21990.928649902344}}}\n", "\u001b[0m\n", "\n", "2021-06-07 14:13:03 Uploading - Uploading generated training model\n", "2021-06-07 14:13:03 Completed - Training job completed\n", "Training seconds: 60\n", "Billable seconds: 60\n", "None\n" ] } ], "source": [ "import boto3\n", "import sagemaker\n", "\n", "sess = sagemaker.Session()\n", "\n", "linear = sagemaker.estimator.Estimator(\n", " container,\n", " role,\n", " instance_count=1,\n", " instance_type=\"ml.c5n.2xlarge\",\n", " output_path=output_location,\n", " sagemaker_session=sess,\n", ")\n", "\n", "linear.set_hyperparameters(feature_dim=\"auto\", predictor_type=\"binary_classifier\",mini_batch_size=1)\n", "\n", "result = linear.fit({\"train\": s3_train_data})\n", "print(result)" ] }, { "cell_type": "code", "execution_count": 6, "id": "ee0bce6b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "-----------------!" ] } ], "source": [ "linear_predictor = linear.deploy(initial_instance_count=1, instance_type=\"ml.m4.xlarge\")" ] }, { "cell_type": "code", "execution_count": null, "id": "fffa53cd", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "conda_python3", "language": "python", "name": "conda_python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.13" } }, "nbformat": 4, "nbformat_minor": 5 }