Trained classifier model on MIMIC-IV
Browse files
classification_log_2025-06-04_19-21-10.log
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| 1 |
+
2025-06-04 19:21:10,615 - INFO - ================================================================================ - [multilabel_classify.py:97:log_section]
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| 2 |
+
2025-06-04 19:21:10,616 - INFO - = 📌 INITIALIZING TRAINING ENVIRONMENT = - [multilabel_classify.py:98:log_section]
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| 3 |
+
2025-06-04 19:21:10,616 - INFO - ================================================================================ - [multilabel_classify.py:101:log_section]
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| 4 |
+
2025-06-04 19:21:10,616 - INFO - 🚀 Setting up data paths and environment variables... - [multilabel_classify.py:3313:main]
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| 5 |
+
2025-06-04 19:21:10,616 - INFO - 📂 Using output directory: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3319:main]
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| 6 |
+
2025-06-04 19:21:10,616 - INFO - 🛠️ Command-line Arguments: - [multilabel_classify.py:343:print_args]
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| 7 |
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2025-06-04 19:21:10,616 - INFO -
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| 8 |
+
🔹 output_dir: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b
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| 9 |
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🔹 source_url: XURLs.MIMIC4_DEMO
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| 10 |
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🔹 data: mimic4_icd10_full
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| 11 |
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🔹 logfile: classification_log
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| 12 |
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🔹 base_dir: ../tmp/MIMIC4_DEMO
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| 13 |
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🔹 hub_model_id: deb101/mistral-7b-instruct-v0.3-mimic4-adapt
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| 14 |
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🔹 model_name: mistralai/Mistral-7B-Instruct-v0.3
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| 15 |
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🔹 max_length: 512
|
| 16 |
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🔹 do_fresh_training: True
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| 17 |
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🔹 load_from_checkpoint: False
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| 18 |
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🔹 task: multilabel-classify
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| 19 |
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🔹 num_train_epochs: 4
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| 20 |
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🔹 per_device_train_batch_size: 8
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| 21 |
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🔹 per_device_eval_batch_size: 8
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| 22 |
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🔹 metric_for_best_model: precision_at_15
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| 23 |
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🔹 learning_rate: 0.0001
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| 24 |
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🔹 final_lr_scheduling: 1e-06
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| 25 |
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🔹 warmup_steps: 500
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| 26 |
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🔹 logfile_path: ../tmp/logs/classification_log_2025-06-04_19-21-10.log
|
| 27 |
+
🔹 source: /home/ubuntu/.xcube/data/mimic4_demo - [multilabel_classify.py:344:print_args]
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| 28 |
+
2025-06-04 19:21:10,616 - INFO - ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ - [multilabel_classify.py:345:print_args]
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| 29 |
+
2025-06-04 19:21:10,616 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:97:log_section]
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| 30 |
+
2025-06-04 19:21:10,616 - INFO - + ✨ LOADING DATASETS + - [multilabel_classify.py:98:log_section]
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| 31 |
+
2025-06-04 19:21:10,616 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
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| 32 |
+
2025-06-04 19:21:10,616 - INFO - 📊 Loading main datasets.... - [multilabel_classify.py:3325:main]
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| 33 |
+
2025-06-04 19:21:19,148 - INFO - 🔍 Total unique labels in dataset: 7942 - [multilabel_classify.py:3115:sample_df_with_full_label_coverage]
|
| 34 |
+
2025-06-04 19:21:19,161 - INFO - 🧪 Attempt 1: Sampled 122 rows covering 863 labels. - [multilabel_classify.py:3129:sample_df_with_full_label_coverage]
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| 35 |
+
2025-06-04 19:21:19,170 - INFO - 🧪 Attempt 2: Sampled 122 rows covering 816 labels. - [multilabel_classify.py:3129:sample_df_with_full_label_coverage]
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| 36 |
+
2025-06-04 19:21:19,179 - INFO - 🧪 Attempt 3: Sampled 122 rows covering 885 labels. - [multilabel_classify.py:3129:sample_df_with_full_label_coverage]
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| 37 |
+
2025-06-04 19:21:19,187 - INFO - 🧪 Attempt 4: Sampled 122 rows covering 828 labels. - [multilabel_classify.py:3129:sample_df_with_full_label_coverage]
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| 38 |
+
2025-06-04 19:21:19,196 - INFO - 🧪 Attempt 5: Sampled 122 rows covering 879 labels. - [multilabel_classify.py:3129:sample_df_with_full_label_coverage]
|
| 39 |
+
2025-06-04 19:21:19,204 - INFO - 🧪 Attempt 6: Sampled 122 rows covering 852 labels. - [multilabel_classify.py:3129:sample_df_with_full_label_coverage]
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| 40 |
+
2025-06-04 19:21:19,212 - INFO - 🧪 Attempt 7: Sampled 122 rows covering 838 labels. - [multilabel_classify.py:3129:sample_df_with_full_label_coverage]
|
| 41 |
+
2025-06-04 19:21:19,221 - INFO - 🧪 Attempt 8: Sampled 122 rows covering 851 labels. - [multilabel_classify.py:3129:sample_df_with_full_label_coverage]
|
| 42 |
+
2025-06-04 19:21:19,229 - INFO - 🧪 Attempt 9: Sampled 122 rows covering 825 labels. - [multilabel_classify.py:3129:sample_df_with_full_label_coverage]
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| 43 |
+
2025-06-04 19:21:19,237 - INFO - 🧪 Attempt 10: Sampled 122 rows covering 833 labels. - [multilabel_classify.py:3129:sample_df_with_full_label_coverage]
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| 44 |
+
2025-06-04 19:21:19,237 - INFO - ⚠️ Skipping label coverage fix. 7109 labels are missing. - [multilabel_classify.py:3147:sample_df_with_full_label_coverage]
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| 45 |
+
2025-06-04 19:21:19,237 - INFO - ✅ Final row count: 122 (Valid: 20, Not-valid: 102) - [multilabel_classify.py:3152:sample_df_with_full_label_coverage]
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| 46 |
+
2025-06-04 19:21:19,256 - INFO - ******************************************************************************** - [multilabel_classify.py:97:log_section]
|
| 47 |
+
2025-06-04 19:21:19,256 - INFO - * 🌟 STARTING MULTI_LABEL CLASSIFICATION MODEL TRAINING * - [multilabel_classify.py:98:log_section]
|
| 48 |
+
2025-06-04 19:21:19,256 - INFO - ******************************************************************************** - [multilabel_classify.py:101:log_section]
|
| 49 |
+
2025-06-04 19:21:19,256 - INFO - 🔐 Loaded authentication token from environment - [multilabel_classify.py:3352:main]
|
| 50 |
+
2025-06-04 19:21:19,256 - INFO - 🏷️ Hub Model ID for this Classification task: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:3356:main]
|
| 51 |
+
2025-06-04 19:21:19,256 - INFO - -------------------------------------------------------------------------------- - [multilabel_classify.py:97:log_section]
|
| 52 |
+
2025-06-04 19:21:19,256 - INFO - - 📋 MODEL EXISTENCE CHECK - - [multilabel_classify.py:98:log_section]
|
| 53 |
+
2025-06-04 19:21:19,256 - INFO - -------------------------------------------------------------------------------- - [multilabel_classify.py:101:log_section]
|
| 54 |
+
2025-06-04 19:21:19,257 - INFO - 🔍 Checking model existence locally and on Hugging Face Hub... - [multilabel_classify.py:3230:check_model_existence]
|
| 55 |
+
2025-06-04 19:21:19,257 - INFO - ❌ Model not found locally at: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3237:check_model_existence]
|
| 56 |
+
2025-06-04 19:21:19,312 - INFO - ✅ Model exists on Hugging Face Hub with ID: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:3249:check_model_existence]
|
| 57 |
+
2025-06-04 19:21:19,312 - INFO - 📁 Model exists either locally or on Hub - [multilabel_classify.py:3275:check_model_existence]
|
| 58 |
+
2025-06-04 19:21:19,312 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:97:log_section]
|
| 59 |
+
2025-06-04 19:21:19,312 - INFO - + ✨ STARTING FRESH TRAINING + - [multilabel_classify.py:98:log_section]
|
| 60 |
+
2025-06-04 19:21:19,312 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
|
| 61 |
+
2025-06-04 19:21:19,312 - INFO - 🔄 Starting fresh training (either forced or model not found)... - [multilabel_classify.py:3369:main]
|
| 62 |
+
2025-06-04 19:21:19,328 - WARNING - Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured. - [_login.py:415:_login]
|
| 63 |
+
2025-06-04 19:21:19,329 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:97:log_section]
|
| 64 |
+
2025-06-04 19:21:19,329 - INFO - + ✨ LOADING BASE MODEL + - [multilabel_classify.py:98:log_section]
|
| 65 |
+
2025-06-04 19:21:19,329 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
|
| 66 |
+
2025-06-04 19:21:19,329 - INFO - 📥 Loading pretrained model and tokenizer... - [multilabel_classify.py:3399:main]
|
| 67 |
+
2025-06-04 19:21:19,329 - INFO - 🚀 Starting model and tokenizer loading process... - [multilabel_classify.py:1216:load_base_model_and_tokenizer]
|
| 68 |
+
2025-06-04 19:21:19,329 - INFO - 📊 Quantization config: BitsAndBytesConfig {
|
| 69 |
+
"_load_in_4bit": true,
|
| 70 |
+
"_load_in_8bit": false,
|
| 71 |
+
"bnb_4bit_compute_dtype": "bfloat16",
|
| 72 |
+
"bnb_4bit_quant_storage": "uint8",
|
| 73 |
+
"bnb_4bit_quant_type": "nf4",
|
| 74 |
+
"bnb_4bit_use_double_quant": true,
|
| 75 |
+
"llm_int8_enable_fp32_cpu_offload": false,
|
| 76 |
+
"llm_int8_has_fp16_weight": false,
|
| 77 |
+
"llm_int8_skip_modules": null,
|
| 78 |
+
"llm_int8_threshold": 6.0,
|
| 79 |
+
"load_in_4bit": true,
|
| 80 |
+
"load_in_8bit": false,
|
| 81 |
+
"quant_method": "bitsandbytes"
|
| 82 |
+
}
|
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+
- [multilabel_classify.py:1225:load_base_model_and_tokenizer]
|
| 84 |
+
2025-06-04 19:21:19,330 - INFO - 🔤 Loading tokenizer for model: deb101/mistral-7b-instruct-v0.3-mimic4-adapt... - [multilabel_classify.py:1229:load_base_model_and_tokenizer]
|
| 85 |
+
2025-06-04 19:21:19,597 - INFO - 🔍 Checking if deb101/mistral-7b-instruct-v0.3-mimic4-adapt is a PEFT model... - [multilabel_classify.py:1241:load_base_model_and_tokenizer]
|
| 86 |
+
2025-06-04 19:21:19,616 - INFO - ✅ Detected PEFT model. Base model: mistralai/Mistral-7B-Instruct-v0.3 - [multilabel_classify.py:1245:load_base_model_and_tokenizer]
|
| 87 |
+
2025-06-04 19:21:19,616 - INFO - 🔍 Loading model configuration for mistralai/Mistral-7B-Instruct-v0.3... - [multilabel_classify.py:1255:load_base_model_and_tokenizer]
|
| 88 |
+
2025-06-04 19:21:19,637 - INFO - Model type: mistral, Architectures: ['MistralForCausalLM'] - [multilabel_classify.py:1261:load_base_model_and_tokenizer]
|
| 89 |
+
2025-06-04 19:21:19,637 - INFO - 🧠 Loading base model: mistralai/Mistral-7B-Instruct-v0.3... - [multilabel_classify.py:1324:load_base_model_and_tokenizer]
|
| 90 |
+
2025-06-04 19:21:20,158 - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk). - [modeling.py:991:get_balanced_memory]
|
| 91 |
+
2025-06-04 19:21:25,492 - INFO - 🧩 Loading PEFT adapters for deb101/mistral-7b-instruct-v0.3-mimic4-adapt... - [multilabel_classify.py:1339:load_base_model_and_tokenizer]
|
| 92 |
+
2025-06-04 19:21:25,727 - INFO - 🔧 Before enabling PEFT adapters for training - [multilabel_classify.py:1341:load_base_model_and_tokenizer]
|
| 93 |
+
2025-06-04 19:21:25,732 - INFO - 🔧 After Enabling PEFT adapters for training - [multilabel_classify.py:1348:load_base_model_and_tokenizer]
|
| 94 |
+
2025-06-04 19:21:25,735 - INFO - ✅ Model and tokenizer successfully loaded! - [multilabel_classify.py:1389:load_base_model_and_tokenizer]
|
| 95 |
+
2025-06-04 19:21:25,735 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:97:log_section]
|
| 96 |
+
2025-06-04 19:21:25,735 - INFO - + ✨ DATA PREPROCESSING + - [multilabel_classify.py:98:log_section]
|
| 97 |
+
2025-06-04 19:21:25,735 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
|
| 98 |
+
2025-06-04 19:21:25,735 - INFO - 🔄 Loading and preprocessing training data... - [multilabel_classify.py:3407:main]
|
| 99 |
+
2025-06-04 19:21:25,739 - INFO - Total number of labels: 833 - [multilabel_classify.py:1017:preprocess_data]
|
| 100 |
+
2025-06-04 19:21:25,739 - INFO - Rare labels (freq < 50): 832 - [multilabel_classify.py:1018:preprocess_data]
|
| 101 |
+
2025-06-04 19:21:25,739 - INFO - Not rare labels (freq >= 50): 1 - [multilabel_classify.py:1019:preprocess_data]
|
| 102 |
+
2025-06-04 19:21:25,740 - INFO - Label partitions and classes saved to ../tmp/MIMIC4_DEMO/labels_partition.json - [multilabel_classify.py:1020:preprocess_data]
|
| 103 |
+
2025-06-04 19:21:27,056 - INFO - The size of training set: 567 - [multilabel_classify.py:1116:preprocess_data]
|
| 104 |
+
2025-06-04 19:21:27,056 - INFO - The size of Evaluation set: 136 - [multilabel_classify.py:1117:preprocess_data]
|
| 105 |
+
2025-06-04 19:21:27,061 - INFO - Number of unique ICD-10 codes: 833 - [multilabel_classify.py:3413:main]
|
| 106 |
+
2025-06-04 19:21:27,061 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:97:log_section]
|
| 107 |
+
2025-06-04 19:21:27,062 - INFO - + ✨ MODEL INITIALIZATION + - [multilabel_classify.py:98:log_section]
|
| 108 |
+
2025-06-04 19:21:27,062 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
|
| 109 |
+
2025-06-04 19:21:27,062 - INFO - 🧠 Initializing custom L2R model for outputting per-token relevance scores per ICD-10 codes. - [multilabel_classify.py:3416:main]
|
| 110 |
+
2025-06-04 19:21:27,062 - INFO - Will now start to create Multilabel-Classification Model from the base model - [multilabel_classify.py:535:__init__]
|
| 111 |
+
2025-06-04 19:21:27,065 - INFO - Trainable params: 6815744 / 3765178368 (0.18%) - [multilabel_classify.py:587:compute_trainable_params]
|
| 112 |
+
2025-06-04 19:21:27,403 - INFO - Creating the Multi-Label Classification Model from base model mistralai/Mistral-7B-Instruct-v0.3 completed!!! - [multilabel_classify.py:577:__init__]
|
| 113 |
+
2025-06-04 19:21:27,407 - INFO - Trainable params: 84177025 / 3842539649 (2.19%) - [multilabel_classify.py:587:compute_trainable_params]
|
| 114 |
+
2025-06-04 19:21:27,407 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:97:log_section]
|
| 115 |
+
2025-06-04 19:21:27,407 - INFO - + ✨ TRAINING PREPARATION + - [multilabel_classify.py:98:log_section]
|
| 116 |
+
2025-06-04 19:21:27,407 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
|
| 117 |
+
2025-06-04 19:21:27,407 - INFO - ⚙️ Preparing training components and optimizers... - [multilabel_classify.py:3423:main]
|
| 118 |
+
2025-06-04 19:21:27,464 - INFO - 🖥️ Device: NVIDIA GH200 480GB - [multilabel_classify.py:864:log_training_configuration]
|
| 119 |
+
2025-06-04 19:21:27,464 - INFO - 🔋 CUDA Available: True - [multilabel_classify.py:867:log_training_configuration]
|
| 120 |
+
2025-06-04 19:21:27,464 - INFO - 💾 CUDA Device Count: 1 - [multilabel_classify.py:868:log_training_configuration]
|
| 121 |
+
2025-06-04 19:21:27,466 - INFO -
|
| 122 |
+
📋 Training Configuration 📋
|
| 123 |
+
+----------+-----------------------------+------------------------------------------------------------------+
|
| 124 |
+
| 🌟 Emoji | 🏷️ Parameter | 📊 Value |
|
| 125 |
+
+----------+-----------------------------+------------------------------------------------------------------+
|
| 126 |
+
| 📁 | Output Directory | ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b |
|
| 127 |
+
| 🔁 | Training Epochs | 4 |
|
| 128 |
+
| 🏋️ | Train Batch Size | 8 |
|
| 129 |
+
| 🔍 | Eval Batch Size | 8 |
|
| 130 |
+
| 📊 | Gradient Accumulation Steps | 4 |
|
| 131 |
+
| 🚀 | Learning Rate | 0.0001 |
|
| 132 |
+
| 🌅 | Warmup Steps | 500 |
|
| 133 |
+
| 💾 | Save Strategy | epoch |
|
| 134 |
+
| 💾 | Save Total Limit | 10 |
|
| 135 |
+
| 📊 | Evaluation Strategy | epoch |
|
| 136 |
+
| 🎯 | Best Model Metric | precision_at_15 |
|
| 137 |
+
| 📝 | Logging Strategy | steps (every 10 steps) |
|
| 138 |
+
| 🌐 | Push to Hub | True |
|
| 139 |
+
| 🌐 | Hub Model ID | deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify |
|
| 140 |
+
| 🔢 | Steps per Epoch | 17 |
|
| 141 |
+
| 🔢 | Total Training Steps | 68 |
|
| 142 |
+
| 🔢 | Evaluation Steps | 17 |
|
| 143 |
+
| 📊 | Training Dataset Size | 567 samples 🏋️ |
|
| 144 |
+
| 📊 | Evaluation Dataset Size | 136 samples 🔍 |
|
| 145 |
+
+----------+-----------------------------+------------------------------------------------------------------+ - [multilabel_classify.py:856:log_training_args]
|
| 146 |
+
2025-06-04 19:21:27,466 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:97:log_section]
|
| 147 |
+
2025-06-04 19:21:27,467 - INFO - + ✨ MODEL TRAINING + - [multilabel_classify.py:98:log_section]
|
| 148 |
+
2025-06-04 19:21:27,467 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
|
| 149 |
+
2025-06-04 19:21:27,467 - INFO - 🏋️ Starting model training process... - [multilabel_classify.py:3445:main]
|
| 150 |
+
2025-06-04 19:21:27,513 - INFO - We are registering the tokenizer deb101/mistral-7b-instruct-v0.3-mimic4-adapt in Custom Trainer - [multilabel_classify.py:1961:__init__]
|
| 151 |
+
2025-06-04 19:21:27,765 - INFO - 🚀 Starting Training... - [multilabel_classify.py:1615:on_train_begin]
|
| 152 |
+
2025-06-04 19:21:48,179 - INFO -
|
| 153 |
+
[36m🚂 Training Metrics (Step 10) 🚂
|
| 154 |
+
+---------------+---------+
|
| 155 |
+
| Metric | Value |
|
| 156 |
+
+===============+=========+
|
| 157 |
+
| loss | 0.6501 |
|
| 158 |
+
+---------------+---------+
|
| 159 |
+
| grad_norm | 7.11264 |
|
| 160 |
+
+---------------+---------+
|
| 161 |
+
| learning_rate | 2e-06 |
|
| 162 |
+
+---------------+---------+
|
| 163 |
+
| epoch | 0.56338 |
|
| 164 |
+
+---------------+---------+[0m - [multilabel_classify.py:1809:on_log]
|
| 165 |
+
2025-06-04 19:22:02,156 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:1973:evaluate]
|
| 166 |
+
2025-06-04 19:22:36,988 - INFO -
|
| 167 |
+
[33m🔍 Evaluation Metrics 🔍
|
| 168 |
+
+-------------------------------+----------+
|
| 169 |
+
| Metric | Value |
|
| 170 |
+
+===============================+==========+
|
| 171 |
+
| eval_f1_micro | 0 |
|
| 172 |
+
+-------------------------------+----------+
|
| 173 |
+
| eval_f1_macro | 0 |
|
| 174 |
+
+-------------------------------+----------+
|
| 175 |
+
| eval_precision_at_5 | 0.011765 |
|
| 176 |
+
+-------------------------------+----------+
|
| 177 |
+
| eval_recall_at_5 | 0.003995 |
|
| 178 |
+
+-------------------------------+----------+
|
| 179 |
+
| eval_precision_at_8 | 0.020221 |
|
| 180 |
+
+-------------------------------+----------+
|
| 181 |
+
| eval_recall_at_8 | 0.008339 |
|
| 182 |
+
+-------------------------------+----------+
|
| 183 |
+
| eval_precision_at_15 | 0.023039 |
|
| 184 |
+
+-------------------------------+----------+
|
| 185 |
+
| eval_recall_at_15 | 0.01855 |
|
| 186 |
+
+-------------------------------+----------+
|
| 187 |
+
| eval_rare_f1_micro | 0 |
|
| 188 |
+
+-------------------------------+----------+
|
| 189 |
+
| eval_rare_f1_macro | 0 |
|
| 190 |
+
+-------------------------------+----------+
|
| 191 |
+
| eval_rare_precision | 0 |
|
| 192 |
+
+-------------------------------+----------+
|
| 193 |
+
| eval_rare_recall | 0 |
|
| 194 |
+
+-------------------------------+----------+
|
| 195 |
+
| eval_rare_precision_at_5 | 0.014706 |
|
| 196 |
+
+-------------------------------+----------+
|
| 197 |
+
| eval_rare_recall_at_5 | 0.004619 |
|
| 198 |
+
+-------------------------------+----------+
|
| 199 |
+
| eval_rare_precision_at_8 | 0.018382 |
|
| 200 |
+
+-------------------------------+----------+
|
| 201 |
+
| eval_rare_recall_at_8 | 0.008006 |
|
| 202 |
+
+-------------------------------+----------+
|
| 203 |
+
| eval_rare_precision_at_15 | 0.020588 |
|
| 204 |
+
+-------------------------------+----------+
|
| 205 |
+
| eval_rare_recall_at_15 | 0.017777 |
|
| 206 |
+
+-------------------------------+----------+
|
| 207 |
+
| eval_not_rare_f1_micro | 0.595588 |
|
| 208 |
+
+-------------------------------+----------+
|
| 209 |
+
| eval_not_rare_f1_macro | 0.373272 |
|
| 210 |
+
+-------------------------------+----------+
|
| 211 |
+
| eval_not_rare_precision | 0.595588 |
|
| 212 |
+
+-------------------------------+----------+
|
| 213 |
+
| eval_not_rare_recall | 0.595588 |
|
| 214 |
+
+-------------------------------+----------+
|
| 215 |
+
| eval_not_rare_precision_at_5 | 0.080882 |
|
| 216 |
+
+-------------------------------+----------+
|
| 217 |
+
| eval_not_rare_recall_at_5 | 0.404412 |
|
| 218 |
+
+-------------------------------+----------+
|
| 219 |
+
| eval_not_rare_precision_at_8 | 0.050551 |
|
| 220 |
+
+-------------------------------+----------+
|
| 221 |
+
| eval_not_rare_recall_at_8 | 0.404412 |
|
| 222 |
+
+-------------------------------+----------+
|
| 223 |
+
| eval_not_rare_precision_at_15 | 0.026961 |
|
| 224 |
+
+-------------------------------+----------+
|
| 225 |
+
| eval_not_rare_recall_at_15 | 0.404412 |
|
| 226 |
+
+-------------------------------+----------+
|
| 227 |
+
| eval_loss | 0.219905 |
|
| 228 |
+
+-------------------------------+----------+[0m - [multilabel_classify.py:1828:on_evaluate]
|
| 229 |
+
2025-06-04 19:22:38,343 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-18 - [multilabel_classify.py:2066:_save]
|
| 230 |
+
2025-06-04 19:22:38,344 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-18 - [multilabel_classify.py:2071:_save]
|
| 231 |
+
2025-06-04 19:22:38,346 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-18:
|
| 232 |
+
+---------+-------------------+------------+
|
| 233 |
+
| Index | Saved File | Size |
|
| 234 |
+
+=========+===================+============+
|
| 235 |
+
| 1 | training_args.bin | 0.01 MB |
|
| 236 |
+
+---------+-------------------+------------+
|
| 237 |
+
| 2 | model.safetensors | 4267.74 MB |
|
| 238 |
+
+---------+-------------------+------------+
|
| 239 |
+
| 3 | config.json | 0.00 MB |
|
| 240 |
+
+---------+-------------------+------------+ - [multilabel_classify.py:2088:_save]
|
| 241 |
+
2025-06-04 19:22:44,363 - INFO -
|
| 242 |
+
[36m🚂 Training Metrics (Step 20) 🚂
|
| 243 |
+
+---------------+---------+
|
| 244 |
+
| Metric | Value |
|
| 245 |
+
+===============+=========+
|
| 246 |
+
| loss | 0.3431 |
|
| 247 |
+
+---------------+---------+
|
| 248 |
+
| grad_norm | 2.48011 |
|
| 249 |
+
+---------------+---------+
|
| 250 |
+
| learning_rate | 4e-06 |
|
| 251 |
+
+---------------+---------+
|
| 252 |
+
| epoch | 1.11268 |
|
| 253 |
+
+---------------+---------+[0m - [multilabel_classify.py:1809:on_log]
|
| 254 |
+
2025-06-04 19:23:02,442 - INFO -
|
| 255 |
+
[36m🚂 Training Metrics (Step 30) 🚂
|
| 256 |
+
+---------------+----------+
|
| 257 |
+
| Metric | Value |
|
| 258 |
+
+===============+==========+
|
| 259 |
+
| loss | 0.124 |
|
| 260 |
+
+---------------+----------+
|
| 261 |
+
| grad_norm | 0.291574 |
|
| 262 |
+
+---------------+----------+
|
| 263 |
+
| learning_rate | 6e-06 |
|
| 264 |
+
+---------------+----------+
|
| 265 |
+
| epoch | 1.67606 |
|
| 266 |
+
+---------------+----------+[0m - [multilabel_classify.py:1809:on_log]
|
| 267 |
+
2025-06-04 19:23:12,766 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:1973:evaluate]
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| 268 |
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2025-06-04 19:23:48,300 - INFO -
|
| 269 |
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[33m🔍 Evaluation Metrics 🔍
|
| 270 |
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2025-06-04 19:23:49,563 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-36 - [multilabel_classify.py:2066:_save]
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| 332 |
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2025-06-04 19:23:49,564 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-36 - [multilabel_classify.py:2071:_save]
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2025-06-04 19:23:49,565 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-36:
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| Metric | Value |
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2025-06-04 19:24:17,296 - INFO -
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[36m🚂 Training Metrics (Step 50) 🚂
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2025-06-04 19:24:24,041 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:1973:evaluate]
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2025-06-04 19:24:58,992 - INFO -
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[33m🔍 Evaluation Metrics 🔍
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| 410 |
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|
| 411 |
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| eval_not_rare_f1_micro | 0.595588 |
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| eval_not_rare_f1_macro | 0.373272 |
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| 415 |
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| eval_not_rare_precision | 0.595588 |
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| 416 |
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| 417 |
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| eval_not_rare_recall | 0.595588 |
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| 419 |
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| eval_not_rare_precision_at_5 | 0.080882 |
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| 420 |
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| 421 |
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| eval_not_rare_recall_at_5 | 0.404412 |
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| 422 |
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| 423 |
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| eval_not_rare_precision_at_8 | 0.050551 |
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| 424 |
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|
| 425 |
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| eval_not_rare_recall_at_8 | 0.404412 |
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| 426 |
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+-------------------------------+----------+
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| 427 |
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| eval_not_rare_precision_at_15 | 0.026961 |
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|
| 429 |
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| eval_not_rare_recall_at_15 | 0.404412 |
|
| 430 |
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+-------------------------------+----------+
|
| 431 |
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| eval_loss | 0.107356 |
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| 432 |
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+-------------------------------+----------+[0m - [multilabel_classify.py:1828:on_evaluate]
|
| 433 |
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2025-06-04 19:25:00,219 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-54 - [multilabel_classify.py:2066:_save]
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| 434 |
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2025-06-04 19:25:00,220 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-54 - [multilabel_classify.py:2071:_save]
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2025-06-04 19:25:00,221 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-54:
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2025-06-04 19:25:13,465 - INFO -
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[36m🚂 Training Metrics (Step 60) 🚂
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+---------------+----------+[0m - [multilabel_classify.py:1809:on_log]
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| 458 |
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2025-06-04 19:25:29,148 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68 - [multilabel_classify.py:2066:_save]
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| 459 |
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2025-06-04 19:25:29,149 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68 - [multilabel_classify.py:2071:_save]
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2025-06-04 19:25:29,150 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68:
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2025-06-04 19:25:29,466 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:1973:evaluate]
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| 471 |
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2025-06-04 19:26:04,418 - INFO -
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[33m🔍 Evaluation Metrics 🔍
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| eval_not_rare_f1_micro | 0.595588 |
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| 513 |
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| 514 |
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| 516 |
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| eval_not_rare_precision_at_5 | 0.080882 |
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| 528 |
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| 530 |
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| eval_not_rare_recall_at_15 | 0.404412 |
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| 531 |
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+-------------------------------+----------+
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| 532 |
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+-------------------------------+----------+[0m - [multilabel_classify.py:1828:on_evaluate]
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| 534 |
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2025-06-04 19:26:08,196 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68 - [multilabel_classify.py:2066:_save]
|
| 535 |
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2025-06-04 19:26:08,198 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68 - [multilabel_classify.py:2071:_save]
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| 536 |
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2025-06-04 19:26:08,199 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68:
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+---------+--------------------+------------+
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| Index | Saved File | Size |
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| 555 |
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| 556 |
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2025-06-04 19:26:08,600 - INFO - 📂 Loading best model from ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68 - [multilabel_classify.py:2140:_load_best_model]
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| 557 |
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2025-06-04 19:26:08,600 - INFO - 🖥️ Model is on device: cuda:0 - [multilabel_classify.py:2150:_load_best_model]
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| 558 |
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2025-06-04 19:26:08,663 - INFO - 🔑 Key order comparison:
|
| 559 |
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+---------+--------------------------------------------+--------------------------------------------------------------------------------------+
|
| 560 |
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| Index | Saved state_dict Keys | Model state_dict Keys |
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| 561 |
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+=========+============================================+======================================================================================+
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| 563 |
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| 569 |
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| 571 |
+
+---------+--------------------------------------------+--------------------------------------------------------------------------------------+ - [multilabel_classify.py:2174:_load_best_model]
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| 572 |
+
2025-06-04 19:26:09,667 - INFO - ✅ Loaded best model weights from ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68/model.safetensors - [multilabel_classify.py:2191:_load_best_model]
|
| 573 |
+
2025-06-04 19:26:09,692 - INFO - ✔️ Weight for boost_mul matches between saved and loaded state_dict - [multilabel_classify.py:2203:_load_best_model]
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| 574 |
+
2025-06-04 19:26:09,714 - INFO - ✔️ Weight for boost_add matches between saved and loaded state_dict - [multilabel_classify.py:2203:_load_best_model]
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| 575 |
+
2025-06-04 19:26:09,728 - INFO -
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| 576 |
+
[36m🚂 Training Metrics (Step 68) 🚂
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| 577 |
+
+--------------------------+----------+
|
| 578 |
+
| Metric | Value |
|
| 579 |
+
+==========================+==========+
|
| 580 |
+
| train_runtime | 281.964 |
|
| 581 |
+
+--------------------------+----------+
|
| 582 |
+
| train_samples_per_second | 8.044 |
|
| 583 |
+
+--------------------------+----------+
|
| 584 |
+
| train_steps_per_second | 0.241 |
|
| 585 |
+
+--------------------------+----------+
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| 586 |
+
| total_flos | 0 |
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| 587 |
+
+--------------------------+----------+
|
| 588 |
+
| train_loss | 0.223955 |
|
| 589 |
+
+--------------------------+----------+
|
| 590 |
+
| epoch | 3.78873 |
|
| 591 |
+
+--------------------------+----------+[0m - [multilabel_classify.py:1809:on_log]
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| 592 |
+
2025-06-04 19:26:09,728 - INFO - ✨ Training Completed! ✨ - [multilabel_classify.py:1682:on_train_end]
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| 593 |
+
2025-06-04 19:26:09,795 - INFO - 📊 Training loss plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/train_loss_plot.png' - [multilabel_classify.py:1878:on_train_end]
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| 594 |
+
2025-06-04 19:26:09,853 - INFO - 📊 Evaluation loss plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/eval_loss_plot.png' - [multilabel_classify.py:1892:on_train_end]
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| 595 |
+
2025-06-04 19:26:09,912 - INFO - 📊 Evaluation metric plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/eval_precision_at_15_plot.png' - [multilabel_classify.py:1913:on_train_end]
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| 596 |
+
2025-06-04 19:26:09,912 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:97:log_section]
|
| 597 |
+
2025-06-04 19:26:09,912 - INFO - + ✨ MODEL SAVING + - [multilabel_classify.py:98:log_section]
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| 598 |
+
2025-06-04 19:26:09,912 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
|
| 599 |
+
2025-06-04 19:26:09,912 - INFO - 💾 Saving trained model and pushing to Hugging Face Hub... - [multilabel_classify.py:3459:main]
|
| 600 |
+
2025-06-04 19:26:09,912 - INFO - 📁 Creating/using output directory: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2666:save_and_push]
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| 601 |
+
2025-06-04 19:26:11,119 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2066:_save]
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| 602 |
+
2025-06-04 19:26:11,121 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2071:_save]
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| 603 |
+
2025-06-04 19:26:11,122 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b:
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| 604 |
+
+---------+-------------------------------+------------+
|
| 605 |
+
| Index | Saved File | Size |
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| 606 |
+
+=========+===============================+============+
|
| 607 |
+
| 1 | eval_loss_plot.png | 0.03 MB |
|
| 608 |
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+---------+-------------------------------+------------+
|
| 609 |
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| 2 | training_args.bin | 0.01 MB |
|
| 610 |
+
+---------+-------------------------------+------------+
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| 611 |
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| 3 | model.safetensors | 4267.74 MB |
|
| 612 |
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+---------+-------------------------------+------------+
|
| 613 |
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| 4 | config.json | 0.00 MB |
|
| 614 |
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+---------+-------------------------------+------------+
|
| 615 |
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| 5 | train_loss_plot.png | 0.02 MB |
|
| 616 |
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+---------+-------------------------------+------------+
|
| 617 |
+
| 6 | eval_precision_at_15_plot.png | 0.03 MB |
|
| 618 |
+
+---------+-------------------------------+------------+ - [multilabel_classify.py:2088:_save]
|
| 619 |
+
2025-06-04 19:26:14,931 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2066:_save]
|
| 620 |
+
2025-06-04 19:26:14,932 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2071:_save]
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| 621 |
+
2025-06-04 19:26:14,933 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b:
|
| 622 |
+
+---------+-------------------------------+------------+
|
| 623 |
+
| Index | Saved File | Size |
|
| 624 |
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+=========+===============================+============+
|
| 625 |
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| 1 | eval_loss_plot.png | 0.03 MB |
|
| 626 |
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+---------+-------------------------------+------------+
|
| 627 |
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| 2 | training_args.bin | 0.01 MB |
|
| 628 |
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+---------+-------------------------------+------------+
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| 629 |
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| 3 | model.safetensors | 4267.74 MB |
|
| 630 |
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+---------+-------------------------------+------------+
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| 631 |
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| 4 | config.json | 0.00 MB |
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| 632 |
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+---------+-------------------------------+------------+
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| 633 |
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| 5 | train_loss_plot.png | 0.02 MB |
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| 634 |
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+---------+-------------------------------+------------+
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| 635 |
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| 6 | eval_precision_at_15_plot.png | 0.03 MB |
|
| 636 |
+
+---------+-------------------------------+------------+ - [multilabel_classify.py:2088:_save]
|
| 637 |
+
2025-06-04 19:27:37,188 - INFO - 💾 Model saved to: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2670:save_and_push]
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| 638 |
+
2025-06-04 19:27:37,217 - INFO - 🖌️ Tokenizer saved to: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2674:save_and_push]
|