classification_log_2025-06-13_18-45-53.log

2025-06-13 18:45:53,711 - INFO - ================================================================================ - [multilabel_classify.py:101:log_section]
2025-06-13 18:45:53,711 - INFO - =                      📌 INITIALIZING TRAINING ENVIRONMENT                       = - [multilabel_classify.py:102:log_section]
2025-06-13 18:45:53,711 - INFO - ================================================================================ - [multilabel_classify.py:105:log_section]
2025-06-13 18:45:53,711 - INFO - 🚀 Setting up data paths and environment variables... - [multilabel_classify.py:3916:main]
2025-06-13 18:45:53,712 - INFO - 📂 Using output directory: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3922:main]
2025-06-13 18:45:53,712 - INFO - 🛠️ Command-line Arguments: - [multilabel_classify.py:369:print_args]
2025-06-13 18:45:53,712 - INFO - 
  🔹 output_dir: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b
  🔹 source_url: XURLs.MIMIC4_DEMO
  🔹 data: mimic4_icd10_full
  🔹 logfile: classification_log
  🔹 base_dir: ../tmp/MIMIC4_DEMO
  🔹 hub_model_id: deb101/mistral-7b-instruct-v0.3-mimic4-adapt
  🔹 model_name: mistralai/Mistral-7B-Instruct-v0.3
  🔹 max_length: 512
  🔹 do_fresh_training: True
  🔹 load_from_checkpoint: False
  🔹 task: multilabel-classify
  🔹 num_train_epochs: 1
  🔹 per_device_train_batch_size: 8
  🔹 per_device_eval_batch_size: 8
  🔹 metric_for_best_model: precision_at_15
  🔹 learning_rate: 0.0001
  🔹 final_lr_scheduling: 1e-06
  🔹 warmup_steps: 500
  🔹 logfile_path: ../tmp/logs/classification_log_2025-06-13_18-45-53.log
  🔹 source: /home/ubuntu/.xcube/data/mimic4_demo - [multilabel_classify.py:370:print_args]
2025-06-13 18:45:53,712 - INFO - ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ - [multilabel_classify.py:371:print_args]
2025-06-13 18:45:53,722 - INFO - 
🚀 Quick Git Info: 📁 xcube | 🌿 plant | 🔍 0bd4309 | 👤 Debjyoti Saha Roy | ⚡ MIXED (1 staged, 2 unstaged) | 🔬 git show 0bd4309 - [multilabel_classify.py:3928:main]
2025-06-13 18:45:53,722 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
2025-06-13 18:45:53,723 - INFO - +                               ✨ LOADING DATASETS                               + - [multilabel_classify.py:102:log_section]
2025-06-13 18:45:53,723 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:105:log_section]
2025-06-13 18:45:53,723 - INFO - 📊 Loading main datasets.... - [multilabel_classify.py:3931:main]
2025-06-13 18:46:02,259 - INFO - 🔍 Total unique labels in dataset: 7942 - [multilabel_classify.py:3707:sample_df_with_full_label_coverage]
2025-06-13 18:46:02,272 - INFO - 🧪 Attempt 1: Sampled 122 rows covering 863 labels. - [multilabel_classify.py:3721:sample_df_with_full_label_coverage]
2025-06-13 18:46:02,282 - INFO - 🧪 Attempt 2: Sampled 122 rows covering 816 labels. - [multilabel_classify.py:3721:sample_df_with_full_label_coverage]
2025-06-13 18:46:02,291 - INFO - 🧪 Attempt 3: Sampled 122 rows covering 885 labels. - [multilabel_classify.py:3721:sample_df_with_full_label_coverage]
2025-06-13 18:46:02,300 - INFO - 🧪 Attempt 4: Sampled 122 rows covering 828 labels. - [multilabel_classify.py:3721:sample_df_with_full_label_coverage]
2025-06-13 18:46:02,309 - INFO - 🧪 Attempt 5: Sampled 122 rows covering 879 labels. - [multilabel_classify.py:3721:sample_df_with_full_label_coverage]
2025-06-13 18:46:02,317 - INFO - 🧪 Attempt 6: Sampled 122 rows covering 852 labels. - [multilabel_classify.py:3721:sample_df_with_full_label_coverage]
2025-06-13 18:46:02,326 - INFO - 🧪 Attempt 7: Sampled 122 rows covering 838 labels. - [multilabel_classify.py:3721:sample_df_with_full_label_coverage]
2025-06-13 18:46:02,335 - INFO - 🧪 Attempt 8: Sampled 122 rows covering 851 labels. - [multilabel_classify.py:3721:sample_df_with_full_label_coverage]
2025-06-13 18:46:02,343 - INFO - 🧪 Attempt 9: Sampled 122 rows covering 825 labels. - [multilabel_classify.py:3721:sample_df_with_full_label_coverage]
2025-06-13 18:46:02,351 - INFO - 🧪 Attempt 10: Sampled 122 rows covering 833 labels. - [multilabel_classify.py:3721:sample_df_with_full_label_coverage]
2025-06-13 18:46:02,356 - INFO - 🛠️ Fixing missing labels: 7109 remaining... - [multilabel_classify.py:3754:sample_df_with_full_label_coverage]
2025-06-13 18:49:30,886 - INFO - ✅ Added 1648 rows to achieve full label coverage. - [multilabel_classify.py:3786:sample_df_with_full_label_coverage]
2025-06-13 18:49:30,889 - INFO - 📊 Final total labels: 7942 - [multilabel_classify.py:3789:sample_df_with_full_label_coverage]
2025-06-13 18:49:30,889 - INFO - ✅ Final row count: 1770 (Valid: 420, Not-valid: 1350) - [multilabel_classify.py:3797:sample_df_with_full_label_coverage]
2025-06-13 18:49:31,659 - INFO - ******************************************************************************** - [multilabel_classify.py:101:log_section]
2025-06-13 18:49:31,659 - INFO - *              🌟 STARTING MULTI_LABEL CLASSIFICATION MODEL TRAINING              * - [multilabel_classify.py:102:log_section]
2025-06-13 18:49:31,659 - INFO - ******************************************************************************** - [multilabel_classify.py:105:log_section]
2025-06-13 18:49:31,659 - INFO - 🔐 Loaded authentication token from environment - [multilabel_classify.py:3958:main]
2025-06-13 18:49:31,659 - INFO - 🏷️ Hub Model ID for this Classification task: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:3962:main]
2025-06-13 18:49:31,659 - INFO - -------------------------------------------------------------------------------- - [multilabel_classify.py:101:log_section]
2025-06-13 18:49:31,659 - INFO - -                            📋 MODEL EXISTENCE CHECK                             - - [multilabel_classify.py:102:log_section]
2025-06-13 18:49:31,659 - INFO - -------------------------------------------------------------------------------- - [multilabel_classify.py:105:log_section]
2025-06-13 18:49:31,659 - INFO - 🔍 Checking model existence locally and on Hugging Face Hub... - [multilabel_classify.py:3822:check_model_existence]
2025-06-13 18:49:31,659 - INFO - ❌ Model not found locally at: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3829:check_model_existence]
2025-06-13 18:49:31,726 - INFO - ✅ Model exists on Hugging Face Hub with ID: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:3841:check_model_existence]
2025-06-13 18:49:31,726 - INFO - 📁 Model exists either locally or on Hub - [multilabel_classify.py:3867:check_model_existence]
2025-06-13 18:49:31,726 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
2025-06-13 18:49:31,726 - INFO - +                           ✨ STARTING FRESH TRAINING                            + - [multilabel_classify.py:102:log_section]
2025-06-13 18:49:31,727 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:105:log_section]
2025-06-13 18:49:31,727 - INFO - 🔄 Starting fresh training (either forced or model not found)... - [multilabel_classify.py:3975:main]
2025-06-13 18:49:31,738 - 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]
2025-06-13 18:49:31,738 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
2025-06-13 18:49:31,738 - INFO - +                              ✨ LOADING BASE MODEL                              + - [multilabel_classify.py:102:log_section]
2025-06-13 18:49:31,738 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:105:log_section]
2025-06-13 18:49:31,738 - INFO - 📥 Loading pretrained model and tokenizer... - [multilabel_classify.py:4007:main]
2025-06-13 18:49:31,738 - INFO - 🚀 Starting model and tokenizer loading process... - [multilabel_classify.py:1579:load_base_model_and_tokenizer]
2025-06-13 18:49:31,739 - INFO - 📊 Quantization config: 4-bit, nf4, double_quant, bfloat16 - [multilabel_classify.py:1588:load_base_model_and_tokenizer]
2025-06-13 18:49:31,739 - INFO - 🔤 Loading tokenizer for model: deb101/mistral-7b-instruct-v0.3-mimic4-adapt... - [multilabel_classify.py:1592:load_base_model_and_tokenizer]
2025-06-13 18:49:32,680 - INFO - 🔍 Checking if deb101/mistral-7b-instruct-v0.3-mimic4-adapt is a PEFT model... - [multilabel_classify.py:1603:load_base_model_and_tokenizer]
2025-06-13 18:49:32,735 - INFO - ✅ Detected PEFT model. Base model: mistralai/Mistral-7B-Instruct-v0.3 - [multilabel_classify.py:1607:load_base_model_and_tokenizer]
2025-06-13 18:49:32,735 - INFO - 🔍 Loading model configuration for mistralai/Mistral-7B-Instruct-v0.3... - [multilabel_classify.py:1615:load_base_model_and_tokenizer]
2025-06-13 18:49:32,810 - INFO - Model type: mistral, Architectures: ['MistralForCausalLM'] - [multilabel_classify.py:1630:load_base_model_and_tokenizer]
2025-06-13 18:49:32,810 - INFO - 🧠 Loading base model: mistralai/Mistral-7B-Instruct-v0.3... - [multilabel_classify.py:1698:load_base_model_and_tokenizer]
2025-06-13 18:49:33,322 - 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]
2025-06-13 18:49:38,581 - INFO - 🧩 Loading PEFT adapters for deb101/mistral-7b-instruct-v0.3-mimic4-adapt... - [multilabel_classify.py:1718:load_base_model_and_tokenizer]
2025-06-13 18:49:39,365 - INFO - 🔧 Before enabling PEFT adapters - [multilabel_classify.py:1720:load_base_model_and_tokenizer]
2025-06-13 18:49:39,367 - INFO - 📊 trainable params: 0 || all params: 7,254,839,296 || trainable%: 0.0000 - [multilabel_classify.py:160:log_print_output]
2025-06-13 18:49:39,370 - INFO - Enabled gradients for parameters: ['base_model.model.model.layers.0.self_attn.q_proj.lora_A.default.weight', 'base_model.model.model.layers.0.self_attn.q_proj.lora_B.default.weight', 'base_model.model.model.layers.0.self_attn.v_proj.lora_A.default.weight', 'base_model.model.model.layers.0.self_attn.v_proj.lora_B.default.weight', 'base_model.model.model.layers.1.self_attn.q_proj.lora_A.default.weight', 'base_model.model.model.layers.1.self_attn.q_proj.lora_B.default.weight', 'base_model.model.model.layers.1.self_attn.v_proj.lora_A.default.weight', 'base_model.model.model.layers.1.self_attn.v_proj.lora_B.default.weight', 'base_model.model.model.layers.2.self_attn.q_proj.lora_A.default.weight', 'base_model.model.model.layers.2.self_attn.q_proj.lora_B.default.weight', 'base_model.model.model.layers.2.self_attn.v_proj.lora_A.default.weight', 'base_model.model.model.layers.2.self_attn.v_proj.lora_B.default.weight', 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2025-06-13 18:49:39,370 - INFO - 🔧 After enabling PEFT adapters - [multilabel_classify.py:1731:load_base_model_and_tokenizer]
2025-06-13 18:49:39,372 - INFO - 📊 trainable params: 6,815,744 || all params: 7,254,839,296 || trainable%: 0.0939 - [multilabel_classify.py:160:log_print_output]
2025-06-13 18:49:39,374 - INFO - ✅ Model and tokenizer successfully loaded! - [multilabel_classify.py:1769:load_base_model_and_tokenizer]
2025-06-13 18:49:39,374 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
2025-06-13 18:49:39,374 - INFO - +                              ✨ DATA PREPROCESSING                              + - [multilabel_classify.py:102:log_section]
2025-06-13 18:49:39,374 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:105:log_section]
2025-06-13 18:49:39,374 - INFO - 🔄 Loading and preprocessing training data... - [multilabel_classify.py:4017:main]
2025-06-13 18:49:39,553 - INFO - Total number of labels: 7942 - [multilabel_classify.py:1172:preprocess_data]
2025-06-13 18:49:39,553 - INFO - Rare labels (freq < 50): 7817 - [multilabel_classify.py:1173:preprocess_data]
2025-06-13 18:49:39,553 - INFO - Not rare labels (freq >= 50): 125 - [multilabel_classify.py:1174:preprocess_data]
2025-06-13 18:49:39,553 - INFO - Label partitions and classes saved to ../tmp/MIMIC4_DEMO/labels_partition.json - [multilabel_classify.py:1175:preprocess_data]
2025-06-13 18:50:36,704 - INFO - The size of training set: 8393 - [multilabel_classify.py:1271:preprocess_data]
2025-06-13 18:50:36,704 - INFO - The size of Evaluation set: 2528 - [multilabel_classify.py:1272:preprocess_data]
2025-06-13 18:50:37,110 - INFO - Number of unique ICD-10 codes: 7942 - [multilabel_classify.py:4023:main]
2025-06-13 18:50:37,112 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
2025-06-13 18:50:37,112 - INFO - +                             ✨ MODEL INITIALIZATION                             + - [multilabel_classify.py:102:log_section]
2025-06-13 18:50:37,112 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:105:log_section]
2025-06-13 18:50:37,112 - INFO - 🧠 Initializing custom L2R model for outputting per-token relevance scores per ICD-10 codes. - [multilabel_classify.py:4026:main]
2025-06-13 18:50:37,113 - INFO - 🏥📊 Creating MultilabelICDClassifier - Standard multilabel medical classifier! 🔬💫 - [multilabel_classify.py:860:define_model]
2025-06-13 18:50:37,113 - INFO - Will now start to create Multilabel-Classification Model from the base model - [multilabel_classify.py:565:__init__]
2025-06-13 18:50:37,117 - INFO - 📊 trainable params: 6,815,744 || all params: 3,765,178,368 || trainable%: 0.1810 - [multilabel_classify.py:619:compute_trainable_params]
2025-06-13 18:50:38,856 - INFO - Creating the Multi-Label Classification Model from base model mistralai/Mistral-7B-Instruct-v0.3 completed!!! - [multilabel_classify.py:607:__init__]
2025-06-13 18:50:38,860 - INFO - 📊 trainable params: 171,532,417 || all params: 3,929,895,041 || trainable%: 4.3648 - [multilabel_classify.py:619:compute_trainable_params]
2025-06-13 18:50:38,860 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
2025-06-13 18:50:38,860 - INFO - +                             ✨ TRAINING PREPARATION                             + - [multilabel_classify.py:102:log_section]
2025-06-13 18:50:38,860 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:105:log_section]
2025-06-13 18:50:38,861 - INFO - ⚙️ Preparing training components and optimizers... - [multilabel_classify.py:4033:main]
2025-06-13 18:50:38,945 - INFO - 🖥️ Device: NVIDIA GH200 480GB - [multilabel_classify.py:1019:log_training_configuration]
2025-06-13 18:50:38,945 - INFO - 🔋 CUDA Available: True - [multilabel_classify.py:1022:log_training_configuration]
2025-06-13 18:50:38,945 - INFO - 💾 CUDA Device Count: 1 - [multilabel_classify.py:1023:log_training_configuration]
2025-06-13 18:50:38,947 - INFO - 
📋 Training Configuration 📋
+----------+-----------------------------+------------------------------------------------------------------+
| 🌟 Emoji |         🏷️ Parameter         |                             📊 Value                             |
+----------+-----------------------------+------------------------------------------------------------------+
|    📁    |      Output Directory       |           ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b           |
|    🔁    |       Training Epochs       |                                1                                 |
|    🏋️     |      Train Batch Size       |                                8                                 |
|    🔍    |       Eval Batch Size       |                                8                                 |
|    📊    | Gradient Accumulation Steps |                                4                                 |
|    🚀    |        Learning Rate        |                              0.0001                              |
|    🌅    |        Warmup Steps         |                               500                                |
|    💾    |        Save Strategy        |                              epoch                               |
|    💾    |      Save Total Limit       |                                10                                |
|    📊    |     Evaluation Strategy     |                              epoch                               |
|    🎯    |      Best Model Metric      |                         precision_at_15                          |
|    📝    |      Logging Strategy       |                      steps (every 10 steps)                      |
|    🌐    |         Push to Hub         |                               True                               |
|    🌐    |        Hub Model ID         | deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify |
|    🔢    |       Steps per Epoch       |                               262                                |
|    🔢    |    Total Training Steps     |                               262                                |
|    🔢    |      Evaluation Steps       |                               316                                |
|    📊    |    Training Dataset Size    |                          8393 samples 🏋️                          |
|    📊    |   Evaluation Dataset Size   |                         2528 samples 🔍                          |
+----------+-----------------------------+------------------------------------------------------------------+ - [multilabel_classify.py:1011:log_training_args]
2025-06-13 18:50:38,947 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
2025-06-13 18:50:38,948 - INFO - +                                ✨ MODEL TRAINING                                + - [multilabel_classify.py:102:log_section]
2025-06-13 18:50:38,948 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:105:log_section]
2025-06-13 18:50:38,948 - INFO - 🏋️ Starting model training process... - [multilabel_classify.py:4055:main]
2025-06-13 18:50:38,998 - INFO - We are registering the tokenizer deb101/mistral-7b-instruct-v0.3-mimic4-adapt in Custom Trainer - [multilabel_classify.py:2340:__init__]
2025-06-13 18:50:39,246 - INFO - 🚀 Starting Training... - [multilabel_classify.py:1994:on_train_begin]
2025-06-13 18:51:01,764 - INFO - 
🚂 Training Metrics (Step 10) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.6752 |
+---------------+----------+
| grad_norm     |  7.27432 |
+---------------+----------+
| learning_rate |    2e-06 |
+---------------+----------+
| epoch         | 0.038095 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:51:21,360 - INFO - 
🚂 Training Metrics (Step 20) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          |  0.3475 |
+---------------+---------+
| grad_norm     | 2.94909 |
+---------------+---------+
| learning_rate |   4e-06 |
+---------------+---------+
| epoch         | 0.07619 |
+---------------+---------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:51:40,988 - INFO - 
🚂 Training Metrics (Step 30) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0737 |
+---------------+----------+
| grad_norm     | 0.276477 |
+---------------+----------+
| learning_rate |    6e-06 |
+---------------+----------+
| epoch         | 0.114286 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:52:00,566 - INFO - 
🚂 Training Metrics (Step 40) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0233 |
+---------------+----------+
| grad_norm     | 0.104187 |
+---------------+----------+
| learning_rate |    8e-06 |
+---------------+----------+
| epoch         | 0.152381 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:52:20,179 - INFO - 
🚂 Training Metrics (Step 50) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0282 |
+---------------+----------+
| grad_norm     | 0.154837 |
+---------------+----------+
| learning_rate |    1e-05 |
+---------------+----------+
| epoch         | 0.190476 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:52:39,823 - INFO - 
🚂 Training Metrics (Step 60) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |    0.027 |
+---------------+----------+
| grad_norm     | 0.136466 |
+---------------+----------+
| learning_rate |  1.2e-05 |
+---------------+----------+
| epoch         | 0.228571 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:52:59,512 - INFO - 
🚂 Training Metrics (Step 70) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0244 |
+---------------+----------+
| grad_norm     | 0.029749 |
+---------------+----------+
| learning_rate |  1.4e-05 |
+---------------+----------+
| epoch         | 0.266667 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:53:19,196 - INFO - 
🚂 Training Metrics (Step 80) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0234 |
+---------------+----------+
| grad_norm     | 0.042736 |
+---------------+----------+
| learning_rate |  1.6e-05 |
+---------------+----------+
| epoch         | 0.304762 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:53:38,910 - INFO - 
🚂 Training Metrics (Step 90) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0235 |
+---------------+----------+
| grad_norm     | 0.035706 |
+---------------+----------+
| learning_rate |  1.8e-05 |
+---------------+----------+
| epoch         | 0.342857 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:53:58,615 - INFO - 
🚂 Training Metrics (Step 100) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0243 |
+---------------+----------+
| grad_norm     | 0.230328 |
+---------------+----------+
| learning_rate |    2e-05 |
+---------------+----------+
| epoch         | 0.380952 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:54:18,318 - INFO - 
🚂 Training Metrics (Step 110) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |    0.023 |
+---------------+----------+
| grad_norm     | 0.011574 |
+---------------+----------+
| learning_rate |  2.2e-05 |
+---------------+----------+
| epoch         | 0.419048 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:54:38,052 - INFO - 
🚂 Training Metrics (Step 120) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0223 |
+---------------+----------+
| grad_norm     |  0.01187 |
+---------------+----------+
| learning_rate |  2.4e-05 |
+---------------+----------+
| epoch         | 0.457143 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:54:57,782 - INFO - 
🚂 Training Metrics (Step 130) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0234 |
+---------------+----------+
| grad_norm     | 0.008039 |
+---------------+----------+
| learning_rate |  2.6e-05 |
+---------------+----------+
| epoch         | 0.495238 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:55:17,523 - INFO - 
🚂 Training Metrics (Step 140) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0233 |
+---------------+----------+
| grad_norm     | 0.007428 |
+---------------+----------+
| learning_rate |  2.8e-05 |
+---------------+----------+
| epoch         | 0.533333 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:55:37,253 - INFO - 
🚂 Training Metrics (Step 150) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0227 |
+---------------+----------+
| grad_norm     | 0.025854 |
+---------------+----------+
| learning_rate |    3e-05 |
+---------------+----------+
| epoch         | 0.571429 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:55:56,990 - INFO - 
🚂 Training Metrics (Step 160) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0218 |
+---------------+----------+
| grad_norm     | 0.015084 |
+---------------+----------+
| learning_rate |  3.2e-05 |
+---------------+----------+
| epoch         | 0.609524 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:56:16,703 - INFO - 
🚂 Training Metrics (Step 170) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0216 |
+---------------+----------+
| grad_norm     | 0.011318 |
+---------------+----------+
| learning_rate |  3.4e-05 |
+---------------+----------+
| epoch         | 0.647619 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:56:36,435 - INFO - 
🚂 Training Metrics (Step 180) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0231 |
+---------------+----------+
| grad_norm     | 0.021338 |
+---------------+----------+
| learning_rate |  3.6e-05 |
+---------------+----------+
| epoch         | 0.685714 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:56:56,191 - INFO - 
🚂 Training Metrics (Step 190) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0236 |
+---------------+----------+
| grad_norm     | 0.004745 |
+---------------+----------+
| learning_rate |  3.8e-05 |
+---------------+----------+
| epoch         |  0.72381 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:57:15,942 - INFO - 
🚂 Training Metrics (Step 200) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0231 |
+---------------+----------+
| grad_norm     | 0.025924 |
+---------------+----------+
| learning_rate |    4e-05 |
+---------------+----------+
| epoch         | 0.761905 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:57:35,695 - INFO - 
🚂 Training Metrics (Step 210) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0222 |
+---------------+----------+
| grad_norm     | 0.007095 |
+---------------+----------+
| learning_rate |  4.2e-05 |
+---------------+----------+
| epoch         |      0.8 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:57:55,463 - INFO - 
🚂 Training Metrics (Step 220) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0225 |
+---------------+----------+
| grad_norm     | 0.012384 |
+---------------+----------+
| learning_rate |  4.4e-05 |
+---------------+----------+
| epoch         | 0.838095 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:58:15,215 - INFO - 
🚂 Training Metrics (Step 230) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          |  0.0238 |
+---------------+---------+
| grad_norm     | 0.00828 |
+---------------+---------+
| learning_rate | 4.6e-05 |
+---------------+---------+
| epoch         | 0.87619 |
+---------------+---------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:58:34,964 - INFO - 
🚂 Training Metrics (Step 240) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0222 |
+---------------+----------+
| grad_norm     | 0.006233 |
+---------------+----------+
| learning_rate |  4.8e-05 |
+---------------+----------+
| epoch         | 0.914286 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:58:54,736 - INFO - 
🚂 Training Metrics (Step 250) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0232 |
+---------------+----------+
| grad_norm     | 0.011117 |
+---------------+----------+
| learning_rate |    5e-05 |
+---------------+----------+
| epoch         | 0.952381 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:59:14,504 - INFO - 
🚂 Training Metrics (Step 260) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |    0.023 |
+---------------+----------+
| grad_norm     | 0.008961 |
+---------------+----------+
| learning_rate |  5.2e-05 |
+---------------+----------+
| epoch         | 0.990476 |
+---------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 18:59:19,754 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262 - [multilabel_classify.py:2445:_save]
2025-06-13 18:59:19,756 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262 - [multilabel_classify.py:2450:_save]
2025-06-13 18:59:19,757 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262:
+---------+-------------------+------------+
|   Index | Saved File        | Size       |
+=========+===================+============+
|       1 | training_args.bin | 0.01 MB    |
+---------+-------------------+------------+
|       2 | model.safetensors | 4600.97 MB |
+---------+-------------------+------------+
|       3 | config.json       | 0.00 MB    |
+---------+-------------------+------------+ - [multilabel_classify.py:2467:_save]
2025-06-13 18:59:20,381 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2352:evaluate]
2025-06-13 19:12:32,601 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 |        0 |
+-------------------------------+----------+
| eval_f1_macro                 |        0 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.274921 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.063731 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.253956 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.090858 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.190533 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.122413 |
+-------------------------------+----------+
| eval_rare_f1_micro            |        0 |
+-------------------------------+----------+
| eval_rare_f1_macro            |        0 |
+-------------------------------+----------+
| eval_rare_precision           |        0 |
+-------------------------------+----------+
| eval_rare_recall              |        0 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.003718 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.001292 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.004302 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.002289 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.004905 |
+-------------------------------+----------+
| eval_rare_recall_at_15        |  0.00478 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        |        0 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        |        0 |
+-------------------------------+----------+
| eval_not_rare_precision       |        0 |
+-------------------------------+----------+
| eval_not_rare_recall          |        0 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.274209 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.168014 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.254005 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.239598 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.190585 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.324765 |
+-------------------------------+----------+
| eval_loss                     | 0.020932 |
+-------------------------------+----------+ - [multilabel_classify.py:2207:on_evaluate]
2025-06-13 19:12:36,537 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262 - [multilabel_classify.py:2445:_save]
2025-06-13 19:12:36,538 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262 - [multilabel_classify.py:2450:_save]
2025-06-13 19:12:36,540 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262:
+---------+--------------------+------------+
|   Index | Saved File         | Size       |
+=========+====================+============+
|       1 | training_args.bin  | 0.01 MB    |
+---------+--------------------+------------+
|       2 | optimizer.pt       | 1308.77 MB |
+---------+--------------------+------------+
|       3 | model.safetensors  | 4600.97 MB |
+---------+--------------------+------------+
|       4 | scaler.pt          | 0.00 MB    |
+---------+--------------------+------------+
|       5 | config.json        | 0.00 MB    |
+---------+--------------------+------------+
|       6 | scheduler.pt       | 0.00 MB    |
+---------+--------------------+------------+
|       7 | trainer_state.json | 0.00 MB    |
+---------+--------------------+------------+
|       8 | rng_state.pth      | 0.01 MB    |
+---------+--------------------+------------+ - [multilabel_classify.py:2467:_save]
2025-06-13 19:12:37,957 - INFO - 📂 Loading best model from ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262 - [multilabel_classify.py:2519:_load_best_model]
2025-06-13 19:12:37,957 - INFO - 🖥️ Model is on device: cuda:0 - [multilabel_classify.py:2529:_load_best_model]
2025-06-13 19:12:38,014 - INFO - 🔑 Key order comparison:
+---------+--------------------------------------------+--------------------------------------------------------------------------------------+
|   Index | Saved state_dict Keys                      | Model state_dict Keys                                                                |
+=========+============================================+======================================================================================+
|       1 | attention.in_proj_bias                     | boost_mul                                                                            |
+---------+--------------------------------------------+--------------------------------------------------------------------------------------+
|       2 | attention.in_proj_weight                   | boost_add                                                                            |
+---------+--------------------------------------------+--------------------------------------------------------------------------------------+
|       3 | attention.out_proj.bias                    | base_model.base_model.model.model.embed_tokens.weight                                |
+---------+--------------------------------------------+--------------------------------------------------------------------------------------+
|       4 | attention.out_proj.weight                  | base_model.base_model.model.model.layers.0.self_attn.q_proj.base_layer.weight        |
+---------+--------------------------------------------+--------------------------------------------------------------------------------------+
|       5 | base_model.base_model.model.lm_head.weight | base_model.base_model.model.model.layers.0.self_attn.q_proj.base_layer.weight.absmax |
+---------+--------------------------------------------+--------------------------------------------------------------------------------------+ - [multilabel_classify.py:2553:_load_best_model]
2025-06-13 19:12:39,020 - INFO - ✅ Loaded best model weights from ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262/model.safetensors - [multilabel_classify.py:2570:_load_best_model]
2025-06-13 19:12:39,059 - INFO - ✔️ Weight for boost_mul matches between saved and loaded state_dict - [multilabel_classify.py:2582:_load_best_model]
2025-06-13 19:12:39,091 - INFO - ✔️ Weight for boost_add matches between saved and loaded state_dict - [multilabel_classify.py:2582:_load_best_model]
2025-06-13 19:12:39,108 - INFO - 
🚂 Training Metrics (Step 262) 🚂
+--------------------------+----------+
| Metric                   |    Value |
+==========================+==========+
| train_runtime            |  1319.86 |
+--------------------------+----------+
| train_samples_per_second |    6.359 |
+--------------------------+----------+
| train_steps_per_second   |    0.199 |
+--------------------------+----------+
| total_flos               |        0 |
+--------------------------+----------+
| train_loss               | 0.062579 |
+--------------------------+----------+
| epoch                    | 0.998095 |
+--------------------------+----------+ - [multilabel_classify.py:2188:on_log]
2025-06-13 19:12:39,108 - INFO - ✨ Training Completed! ✨ - [multilabel_classify.py:2061:on_train_end]
2025-06-13 19:12:39,183 - INFO - 📊 Training loss plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/train_loss_plot.png' - [multilabel_classify.py:2257:on_train_end]
2025-06-13 19:12:39,237 - INFO - 📊 Evaluation loss plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/eval_loss_plot.png' - [multilabel_classify.py:2271:on_train_end]
2025-06-13 19:12:39,297 - INFO - 📊 Evaluation metric plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/eval_precision_at_15_plot.png' - [multilabel_classify.py:2292:on_train_end]
2025-06-13 19:12:39,298 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:101:log_section]
2025-06-13 19:12:39,298 - INFO - +                                 ✨ MODEL SAVING                                 + - [multilabel_classify.py:102:log_section]
2025-06-13 19:12:39,298 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:105:log_section]
2025-06-13 19:12:39,298 - INFO - 💾 Saving trained model and pushing to Hugging Face Hub... - [multilabel_classify.py:4069:main]
2025-06-13 19:12:39,298 - INFO - 📁 Creating/using output directory: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3045:save_and_push]
2025-06-13 19:12:40,623 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2445:_save]
2025-06-13 19:12:40,625 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2450:_save]
2025-06-13 19:12:40,626 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b:
+---------+-------------------------------+------------+
|   Index | Saved File                    | Size       |
+=========+===============================+============+
|       1 | eval_loss_plot.png            | 0.02 MB    |
+---------+-------------------------------+------------+
|       2 | training_args.bin             | 0.01 MB    |
+---------+-------------------------------+------------+
|       3 | model.safetensors             | 4600.97 MB |
+---------+-------------------------------+------------+
|       4 | config.json                   | 0.00 MB    |
+---------+-------------------------------+------------+
|       5 | train_loss_plot.png           | 0.02 MB    |
+---------+-------------------------------+------------+
|       6 | eval_precision_at_15_plot.png | 0.03 MB    |
+---------+-------------------------------+------------+ - [multilabel_classify.py:2467:_save]
2025-06-13 19:12:44,632 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2445:_save]
2025-06-13 19:12:44,634 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2450:_save]
2025-06-13 19:12:44,635 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b:
+---------+-------------------------------+------------+
|   Index | Saved File                    | Size       |
+=========+===============================+============+
|       1 | eval_loss_plot.png            | 0.02 MB    |
+---------+-------------------------------+------------+
|       2 | training_args.bin             | 0.01 MB    |
+---------+-------------------------------+------------+
|       3 | model.safetensors             | 4600.97 MB |
+---------+-------------------------------+------------+
|       4 | config.json                   | 0.00 MB    |
+---------+-------------------------------+------------+
|       5 | train_loss_plot.png           | 0.02 MB    |
+---------+-------------------------------+------------+
|       6 | eval_precision_at_15_plot.png | 0.03 MB    |
+---------+-------------------------------+------------+ - [multilabel_classify.py:2467:_save]
2025-06-13 19:14:09,684 - INFO - 💾 Model saved to: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3049:save_and_push]
2025-06-13 19:14:09,714 - INFO - 🖌️ Tokenizer saved to: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3053:save_and_push]