classification_log_2025-06-05_15-38-15.log

2025-06-05 15:38:15,054 - INFO - ================================================================================ - [multilabel_classify.py:100:log_section]
2025-06-05 15:38:15,054 - INFO - =                      📌 INITIALIZING TRAINING ENVIRONMENT                       = - [multilabel_classify.py:101:log_section]
2025-06-05 15:38:15,054 - INFO - ================================================================================ - [multilabel_classify.py:104:log_section]
2025-06-05 15:38:15,055 - INFO - 🚀 Setting up data paths and environment variables... - [multilabel_classify.py:3560:main]
2025-06-05 15:38:15,055 - INFO - 📂 Using output directory: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3566:main]
2025-06-05 15:38:15,055 - INFO - 🛠️ Command-line Arguments: - [multilabel_classify.py:368:print_args]
2025-06-05 15:38:15,055 - 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: True
  🔹 task: multilabel-classify
  🔹 num_train_epochs: 7
  🔹 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: 50
  🔹 logfile_path: ../tmp/logs/classification_log_2025-06-05_15-38-15.log
  🔹 source: /home/ubuntu/.xcube/data/mimic4_demo - [multilabel_classify.py:369:print_args]
2025-06-05 15:38:15,055 - INFO - ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ - [multilabel_classify.py:370:print_args]
2025-06-05 15:38:15,055 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:38:15,055 - INFO - +                               ✨ LOADING DATASETS                               + - [multilabel_classify.py:101:log_section]
2025-06-05 15:38:15,055 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:38:15,055 - INFO - 📊 Loading main datasets.... - [multilabel_classify.py:3572:main]
2025-06-05 15:38:23,640 - INFO - 🔍 Total unique labels in dataset: 7942 - [multilabel_classify.py:3353:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,653 - INFO - 🧪 Attempt 1: Sampled 122 rows covering 863 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,663 - INFO - 🧪 Attempt 2: Sampled 122 rows covering 816 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,672 - INFO - 🧪 Attempt 3: Sampled 122 rows covering 885 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,682 - INFO - 🧪 Attempt 4: Sampled 122 rows covering 828 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,690 - INFO - 🧪 Attempt 5: Sampled 122 rows covering 879 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,699 - INFO - 🧪 Attempt 6: Sampled 122 rows covering 852 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,708 - INFO - 🧪 Attempt 7: Sampled 122 rows covering 838 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,716 - INFO - 🧪 Attempt 8: Sampled 122 rows covering 851 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,725 - INFO - 🧪 Attempt 9: Sampled 122 rows covering 825 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,733 - INFO - 🧪 Attempt 10: Sampled 122 rows covering 833 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,733 - INFO - ⚠️ Skipping label coverage fix. 7109 labels are missing. - [multilabel_classify.py:3385:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,734 - INFO - ✅ Final row count: 122 (Valid: 20, Not-valid: 102) - [multilabel_classify.py:3390:sample_df_with_full_label_coverage]
2025-06-05 15:38:23,752 - INFO - ******************************************************************************** - [multilabel_classify.py:100:log_section]
2025-06-05 15:38:23,752 - INFO - *              🌟 STARTING MULTI_LABEL CLASSIFICATION MODEL TRAINING              * - [multilabel_classify.py:101:log_section]
2025-06-05 15:38:23,752 - INFO - ******************************************************************************** - [multilabel_classify.py:104:log_section]
2025-06-05 15:38:23,752 - INFO - 🔐 Loaded authentication token from environment - [multilabel_classify.py:3599:main]
2025-06-05 15:38:23,753 - INFO - 🏷️ Hub Model ID for this Classification task: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:3603:main]
2025-06-05 15:38:23,753 - INFO - -------------------------------------------------------------------------------- - [multilabel_classify.py:100:log_section]
2025-06-05 15:38:23,753 - INFO - -                            📋 MODEL EXISTENCE CHECK                             - - [multilabel_classify.py:101:log_section]
2025-06-05 15:38:23,753 - INFO - -------------------------------------------------------------------------------- - [multilabel_classify.py:104:log_section]
2025-06-05 15:38:23,753 - INFO - 🔍 Checking model existence locally and on Hugging Face Hub... - [multilabel_classify.py:3468:check_model_existence]
2025-06-05 15:38:23,753 - INFO - ❌ Model not found locally at: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3475:check_model_existence]
2025-06-05 15:38:23,805 - INFO - ✅ Model exists on Hugging Face Hub with ID: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:3487:check_model_existence]
2025-06-05 15:38:23,805 - INFO - 📁 Model exists either locally or on Hub - [multilabel_classify.py:3513:check_model_existence]
2025-06-05 15:38:23,805 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:38:23,805 - INFO - +                           ✨ STARTING FRESH TRAINING                            + - [multilabel_classify.py:101:log_section]
2025-06-05 15:38:23,805 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:38:23,805 - INFO - 🔄 Starting fresh training (either forced or model not found)... - [multilabel_classify.py:3616:main]
2025-06-05 15:38:23,817 - 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]
2025-06-05 15:38:23,817 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:38:23,817 - INFO - +                           ✨ LOADING FROM CHECKPOINT                            + - [multilabel_classify.py:101:log_section]
2025-06-05 15:38:23,818 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:38:23,818 - INFO - 📥 Loading existing model from checkpoint... - [multilabel_classify.py:3623:main]
2025-06-05 15:38:23,818 - INFO - 🔍 Model exists locally: False - [multilabel_classify.py:2972:load_custom_task_model_and_tokenizer]
2025-06-05 15:38:23,835 - INFO - ✅ Validated Hugging Face model: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:3523:is_valid_hf_model]
2025-06-05 15:38:23,835 - INFO - 🌐 Loading model from Hub: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:2983:load_custom_task_model_and_tokenizer]
2025-06-05 15:38:23,899 - INFO - 🌐 Loaded config from Hub: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:3001:load_custom_task_model_and_tokenizer]
2025-06-05 15:38:23,899 - INFO - 🔢 Num labels: 833, Base model path: deb101/mistral-7b-instruct-v0.3-mimic4-adapt - [multilabel_classify.py:3013:load_custom_task_model_and_tokenizer]
2025-06-05 15:38:23,899 - INFO - 🚀 Starting model and tokenizer loading process... - [multilabel_classify.py:1243:load_base_model_and_tokenizer]
2025-06-05 15:38:23,900 - INFO - 📊 Quantization config: BitsAndBytesConfig {
  "_load_in_4bit": true,
  "_load_in_8bit": false,
  "bnb_4bit_compute_dtype": "bfloat16",
  "bnb_4bit_quant_storage": "uint8",
  "bnb_4bit_quant_type": "nf4",
  "bnb_4bit_use_double_quant": true,
  "llm_int8_enable_fp32_cpu_offload": false,
  "llm_int8_has_fp16_weight": false,
  "llm_int8_skip_modules": null,
  "llm_int8_threshold": 6.0,
  "load_in_4bit": true,
  "load_in_8bit": false,
  "quant_method": "bitsandbytes"
}
 - [multilabel_classify.py:1252:load_base_model_and_tokenizer]
2025-06-05 15:38:23,900 - INFO - 🔤 Loading tokenizer for model: deb101/mistral-7b-instruct-v0.3-mimic4-adapt... - [multilabel_classify.py:1256:load_base_model_and_tokenizer]
2025-06-05 15:38:24,208 - INFO - 🔍 Checking if deb101/mistral-7b-instruct-v0.3-mimic4-adapt is a PEFT model... - [multilabel_classify.py:1268:load_base_model_and_tokenizer]
2025-06-05 15:38:24,232 - INFO - ✅ Detected PEFT model. Base model: mistralai/Mistral-7B-Instruct-v0.3 - [multilabel_classify.py:1272:load_base_model_and_tokenizer]
2025-06-05 15:38:24,232 - INFO - 🔍 Loading model configuration for mistralai/Mistral-7B-Instruct-v0.3... - [multilabel_classify.py:1282:load_base_model_and_tokenizer]
2025-06-05 15:38:24,253 - INFO - Model type: mistral, Architectures: ['MistralForCausalLM'] - [multilabel_classify.py:1288:load_base_model_and_tokenizer]
2025-06-05 15:38:24,253 - INFO - 🧠 Loading base model: mistralai/Mistral-7B-Instruct-v0.3... - [multilabel_classify.py:1351:load_base_model_and_tokenizer]
2025-06-05 15:38:24,771 - 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]
2025-06-05 15:38:30,024 - INFO - 🧩 Loading PEFT adapters for deb101/mistral-7b-instruct-v0.3-mimic4-adapt... - [multilabel_classify.py:1366:load_base_model_and_tokenizer]
2025-06-05 15:38:30,887 - INFO - 🔧 Before enabling PEFT adapters for training - [multilabel_classify.py:1368:load_base_model_and_tokenizer]
2025-06-05 15:38:30,890 - INFO - 📊 trainable params: 0 || all params: 7,254,839,296 || trainable%: 0.0000 - [multilabel_classify.py:159:log_print_output]
2025-06-05 15:38:30,893 - INFO - 🔧 After Enabling PEFT adapters for training - [multilabel_classify.py:1375:load_base_model_and_tokenizer]
2025-06-05 15:38:30,895 - INFO - 📊 trainable params: 6,815,744 || all params: 7,254,839,296 || trainable%: 0.0939 - [multilabel_classify.py:159:log_print_output]
2025-06-05 15:38:30,896 - INFO - ✅ Model and tokenizer successfully loaded! - [multilabel_classify.py:1416:load_base_model_and_tokenizer]
2025-06-05 15:38:30,896 - INFO - 🤖 Loaded base model from: deb101/mistral-7b-instruct-v0.3-mimic4-adapt - [multilabel_classify.py:3017:load_custom_task_model_and_tokenizer]
2025-06-05 15:38:30,896 - INFO - Will now start to create Multilabel-Classification Model from the base model - [multilabel_classify.py:560:__init__]
2025-06-05 15:38:30,899 - INFO - 📊 trainable params: 6,815,744 || all params: 3,765,178,368 || trainable%: 0.1810 - [multilabel_classify.py:614:compute_trainable_params]
2025-06-05 15:38:31,236 - INFO - Creating the Multi-Label Classification Model from base model mistralai/Mistral-7B-Instruct-v0.3 completed!!! - [multilabel_classify.py:602:__init__]
2025-06-05 15:38:31,239 - INFO - 📊 trainable params: 84,177,025 || all params: 3,842,539,649 || trainable%: 2.1907 - [multilabel_classify.py:614:compute_trainable_params]
2025-06-05 15:38:31,239 - INFO - 🏗️ Initialized L2R model with 833 labels - [multilabel_classify.py:3025:load_custom_task_model_and_tokenizer]
2025-06-05 15:38:31,277 - INFO - 🖥️ Model moved to device: cuda - [multilabel_classify.py:3029:load_custom_task_model_and_tokenizer]
2025-06-05 15:39:32,232 - INFO - 💾 Loaded custom weights from Hub: /home/ubuntu/.cache/huggingface/hub/models--deb101--mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify/snapshots/fe1ea1ffc7211d1daaa3b0b6eb81b21bed5096a4/model.safetensors - [multilabel_classify.py:3052:load_custom_task_model_and_tokenizer]
2025-06-05 15:39:33,290 - INFO - ✅ Custom weights loaded into model - [multilabel_classify.py:3071:load_custom_task_model_and_tokenizer]
2025-06-05 15:39:33,298 - INFO - ✔️ Loaded weights match model's state_dict - [multilabel_classify.py:3082:load_custom_task_model_and_tokenizer]
2025-06-05 15:39:33,300 - INFO - 📋 Loaded files from Hub (directory: /home/ubuntu/.cache/huggingface/hub/models--deb101--mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify/snapshots/fe1ea1ffc7211d1daaa3b0b6eb81b21bed5096a4):
+---------+-------------------+------------+
|   Index | Loaded File       | Size       |
+=========+===================+============+
|       1 | model.safetensors | 4267.74 MB |
+---------+-------------------+------------+
|       2 | config.json       | 0.00 MB    |
+---------+-------------------+------------+ - [multilabel_classify.py:3122:load_custom_task_model_and_tokenizer]
2025-06-05 15:39:35,109 - INFO - 🖌️ Loaded tokenizer from: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:3137:load_custom_task_model_and_tokenizer]
2025-06-05 15:39:35,118 - INFO - 🖥️ Model moved to device: cuda - [multilabel_classify.py:3144:load_custom_task_model_and_tokenizer]
2025-06-05 15:39:35,125 - INFO - ✅ Successfully loaded from checkpoint, will now continue training for 7 epochs. - [multilabel_classify.py:3634:main]
2025-06-05 15:39:35,127 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:39:35,127 - INFO - +                          ✨ PREPARING EVALUATION DATA                           + - [multilabel_classify.py:101:log_section]
2025-06-05 15:39:35,127 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:39:35,127 - INFO - 🔄 Loading and preprocessing evaluation data... - [multilabel_classify.py:3641:main]
2025-06-05 15:39:35,131 - INFO - Total number of labels: 833 - [multilabel_classify.py:1044:preprocess_data]
2025-06-05 15:39:35,131 - INFO - Rare labels (freq < 50): 832 - [multilabel_classify.py:1045:preprocess_data]
2025-06-05 15:39:35,131 - INFO - Not rare labels (freq >= 50): 1 - [multilabel_classify.py:1046:preprocess_data]
2025-06-05 15:39:35,131 - INFO - Label partitions and classes saved to ../tmp/MIMIC4_DEMO/labels_partition.json - [multilabel_classify.py:1047:preprocess_data]
2025-06-05 15:39:36,494 - INFO - The size of training set: 567 - [multilabel_classify.py:1143:preprocess_data]
2025-06-05 15:39:36,494 - INFO - The size of Evaluation set: 136 - [multilabel_classify.py:1144:preprocess_data]
2025-06-05 15:39:36,500 - INFO - 🏷️ Number of unique ICD-10 codes: 833 - [multilabel_classify.py:3645:main]
2025-06-05 15:39:36,500 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:39:36,500 - INFO - +                             ✨ TRAINING PREPARATION                             + - [multilabel_classify.py:101:log_section]
2025-06-05 15:39:36,500 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:39:36,500 - INFO - ⚙️ Preparing training components and optimizers... - [multilabel_classify.py:3672:main]
2025-06-05 15:39:36,527 - INFO - 🖥️ Device: NVIDIA GH200 480GB - [multilabel_classify.py:891:log_training_configuration]
2025-06-05 15:39:36,528 - INFO - 🔋 CUDA Available: True - [multilabel_classify.py:894:log_training_configuration]
2025-06-05 15:39:36,528 - INFO - 💾 CUDA Device Count: 1 - [multilabel_classify.py:895:log_training_configuration]
2025-06-05 15:39:36,528 - INFO - 
📋 Training Configuration 📋
+----------+-----------------------------+------------------------------------------------------------------+
| 🌟 Emoji |         🏷️ Parameter         |                             📊 Value                             |
+----------+-----------------------------+------------------------------------------------------------------+
|    📁    |      Output Directory       |           ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b           |
|    🔁    |       Training Epochs       |                                7                                 |
|    🏋️     |      Train Batch Size       |                                8                                 |
|    🔍    |       Eval Batch Size       |                                8                                 |
|    📊    | Gradient Accumulation Steps |                                4                                 |
|    🚀    |        Learning Rate        |                              0.0001                              |
|    🌅    |        Warmup Steps         |                                50                                |
|    💾    |        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       |                                17                                |
|    🔢    |    Total Training Steps     |                               119                                |
|    🔢    |      Evaluation Steps       |                                17                                |
|    📊    |    Training Dataset Size    |                          567 samples 🏋️                           |
|    📊    |   Evaluation Dataset Size   |                          136 samples 🔍                          |
+----------+-----------------------------+------------------------------------------------------------------+ - [multilabel_classify.py:883:log_training_args]
2025-06-05 15:39:36,529 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:39:36,529 - INFO - +                                ✨ MODEL TRAINING                                + - [multilabel_classify.py:101:log_section]
2025-06-05 15:39:36,529 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:39:36,529 - INFO - 🏋️ Starting model training process... - [multilabel_classify.py:3694:main]
2025-06-05 15:39:36,572 - INFO - We are registering the tokenizer deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify in Custom Trainer - [multilabel_classify.py:1988:__init__]
2025-06-05 15:39:36,834 - INFO - 🚀 Starting Training... - [multilabel_classify.py:1642:on_train_begin]
2025-06-05 15:39:57,096 - INFO - 
🚂 Training Metrics (Step 10) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0989 |
+---------------+----------+
| grad_norm     | 0.063781 |
+---------------+----------+
| learning_rate |    2e-05 |
+---------------+----------+
| epoch         |  0.56338 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:40:11,014 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2000:evaluate]
2025-06-05 15:40:45,983 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 |        0 |
+-------------------------------+----------+
| eval_f1_macro                 |        0 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.272059 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.108443 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.195772 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.124597 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.126961 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.146996 |
+-------------------------------+----------+
| eval_rare_f1_micro            |        0 |
+-------------------------------+----------+
| eval_rare_f1_macro            |        0 |
+-------------------------------+----------+
| eval_rare_precision           |        0 |
+-------------------------------+----------+
| eval_rare_recall              |        0 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.208824 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.088475 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.150735 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.101507 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.098529 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.120102 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        | 0.373272 |
+-------------------------------+----------+
| eval_not_rare_precision       | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_recall          | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.080882 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.050551 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.026961 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.404412 |
+-------------------------------+----------+
| eval_loss                     | 0.103884 |
+-------------------------------+----------+ - [multilabel_classify.py:1855:on_evaluate]
2025-06-05 15:40:47,180 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-18 - [multilabel_classify.py:2093:_save]
2025-06-05 15:40:47,181 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-18 - [multilabel_classify.py:2098:_save]
2025-06-05 15:40:47,182 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-18:
+---------+-------------------+------------+
|   Index | Saved File        | Size       |
+=========+===================+============+
|       1 | training_args.bin | 0.01 MB    |
+---------+-------------------+------------+
|       2 | model.safetensors | 4267.74 MB |
+---------+-------------------+------------+
|       3 | config.json       | 0.00 MB    |
+---------+-------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:40:53,184 - INFO - 
🚂 Training Metrics (Step 20) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.1039 |
+---------------+----------+
| grad_norm     | 0.113664 |
+---------------+----------+
| learning_rate |    4e-05 |
+---------------+----------+
| epoch         |  1.11268 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:41:11,244 - INFO - 
🚂 Training Metrics (Step 30) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.1013 |
+---------------+----------+
| grad_norm     | 0.198499 |
+---------------+----------+
| learning_rate |    6e-05 |
+---------------+----------+
| epoch         |  1.67606 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:41:21,600 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2000:evaluate]
2025-06-05 15:41:56,730 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 |        0 |
+-------------------------------+----------+
| eval_f1_macro                 |        0 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.270588 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.111741 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.230699 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.153039 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.148529 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.172471 |
+-------------------------------+----------+
| eval_rare_f1_micro            |        0 |
+-------------------------------+----------+
| eval_rare_f1_macro            |        0 |
+-------------------------------+----------+
| eval_rare_precision           |        0 |
+-------------------------------+----------+
| eval_rare_recall              |        0 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.227941 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.091875 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.191176 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.134186 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.126961 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.150628 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        | 0.373272 |
+-------------------------------+----------+
| eval_not_rare_precision       | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_recall          | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.080882 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.050551 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.026961 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.404412 |
+-------------------------------+----------+
| eval_loss                     | 0.105386 |
+-------------------------------+----------+ - [multilabel_classify.py:1855:on_evaluate]
2025-06-05 15:41:57,912 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-36 - [multilabel_classify.py:2093:_save]
2025-06-05 15:41:57,913 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-36 - [multilabel_classify.py:2098:_save]
2025-06-05 15:41:57,914 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-36:
+---------+-------------------+------------+
|   Index | Saved File        | Size       |
+=========+===================+============+
|       1 | training_args.bin | 0.01 MB    |
+---------+-------------------+------------+
|       2 | model.safetensors | 4267.74 MB |
+---------+-------------------+------------+
|       3 | config.json       | 0.00 MB    |
+---------+-------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:42:07,554 - INFO - 
🚂 Training Metrics (Step 40) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0971 |
+---------------+----------+
| grad_norm     | 0.073463 |
+---------------+----------+
| learning_rate |    8e-05 |
+---------------+----------+
| epoch         |  2.22535 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:42:25,650 - INFO - 
🚂 Training Metrics (Step 50) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.1012 |
+---------------+----------+
| grad_norm     | 0.058595 |
+---------------+----------+
| learning_rate |   0.0001 |
+---------------+----------+
| epoch         |  2.78873 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:42:32,400 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2000:evaluate]
2025-06-05 15:43:07,380 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 |        0 |
+-------------------------------+----------+
| eval_f1_macro                 |        0 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.276471 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.111579 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.237132 |
+-------------------------------+----------+
| eval_recall_at_8              |  0.15122 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.148039 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.171528 |
+-------------------------------+----------+
| eval_rare_f1_micro            |        0 |
+-------------------------------+----------+
| eval_rare_f1_macro            |        0 |
+-------------------------------+----------+
| eval_rare_precision           |        0 |
+-------------------------------+----------+
| eval_rare_recall              |        0 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.247059 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.105122 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.193015 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.135358 |
+-------------------------------+----------+
| eval_rare_precision_at_15     |    0.125 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.149296 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        | 0.373272 |
+-------------------------------+----------+
| eval_not_rare_precision       | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_recall          | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.080882 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.050551 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.026961 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.404412 |
+-------------------------------+----------+
| eval_loss                     | 0.103298 |
+-------------------------------+----------+ - [multilabel_classify.py:1855:on_evaluate]
2025-06-05 15:43:08,572 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-54 - [multilabel_classify.py:2093:_save]
2025-06-05 15:43:08,574 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-54 - [multilabel_classify.py:2098:_save]
2025-06-05 15:43:08,575 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-54:
+---------+-------------------+------------+
|   Index | Saved File        | Size       |
+=========+===================+============+
|       1 | training_args.bin | 0.01 MB    |
+---------+-------------------+------------+
|       2 | model.safetensors | 4267.74 MB |
+---------+-------------------+------------+
|       3 | config.json       | 0.00 MB    |
+---------+-------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:43:21,824 - INFO - 
🚂 Training Metrics (Step 60) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0995 |
+---------------+----------+
| grad_norm     | 0.103198 |
+---------------+----------+
| learning_rate |  9.5e-05 |
+---------------+----------+
| epoch         |  3.33803 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:43:39,928 - INFO - 
🚂 Training Metrics (Step 70) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.1003 |
+---------------+----------+
| grad_norm     | 0.184965 |
+---------------+----------+
| learning_rate |  8.1e-05 |
+---------------+----------+
| epoch         |  3.90141 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:43:43,080 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2000:evaluate]
2025-06-05 15:44:18,190 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 |        0 |
+-------------------------------+----------+
| eval_f1_macro                 |        0 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.276471 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.116576 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.235294 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.144086 |
+-------------------------------+----------+
| eval_precision_at_15          |  0.14951 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.172205 |
+-------------------------------+----------+
| eval_rare_f1_micro            |        0 |
+-------------------------------+----------+
| eval_rare_f1_macro            |        0 |
+-------------------------------+----------+
| eval_rare_precision           |        0 |
+-------------------------------+----------+
| eval_rare_recall              |        0 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.245588 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.107489 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.193934 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.136584 |
+-------------------------------+----------+
| eval_rare_precision_at_15     |    0.125 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.149146 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        | 0.373272 |
+-------------------------------+----------+
| eval_not_rare_precision       | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_recall          | 0.595588 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.080882 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.050551 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.026961 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.404412 |
+-------------------------------+----------+
| eval_loss                     | 0.101713 |
+-------------------------------+----------+ - [multilabel_classify.py:1855:on_evaluate]
2025-06-05 15:44:19,386 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-72 - [multilabel_classify.py:2093:_save]
2025-06-05 15:44:19,387 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-72 - [multilabel_classify.py:2098:_save]
2025-06-05 15:44:19,388 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-72:
+---------+-------------------+------------+
|   Index | Saved File        | Size       |
+=========+===================+============+
|       1 | training_args.bin | 0.01 MB    |
+---------+-------------------+------------+
|       2 | model.safetensors | 4267.74 MB |
+---------+-------------------+------------+
|       3 | config.json       | 0.00 MB    |
+---------+-------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:44:36,268 - INFO - 
🚂 Training Metrics (Step 80) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          |  0.0941 |
+---------------+---------+
| grad_norm     | 0.19297 |
+---------------+---------+
| learning_rate | 6.1e-05 |
+---------------+---------+
| epoch         |  4.4507 |
+---------------+---------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:44:53,903 - INFO - 
🚂 Training Metrics (Step 90) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0872 |
+---------------+----------+
| grad_norm     | 0.214059 |
+---------------+----------+
| learning_rate |  3.8e-05 |
+---------------+----------+
| epoch         |        5 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:44:53,903 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2000:evaluate]
2025-06-05 15:45:28,817 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 |   0.0238 |
+-------------------------------+----------+
| eval_f1_macro                 |  0.00104 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.276471 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.116576 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.235294 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.144086 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.153431 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.174813 |
+-------------------------------+----------+
| eval_rare_f1_micro            | 0.003331 |
+-------------------------------+----------+
| eval_rare_f1_macro            | 0.000516 |
+-------------------------------+----------+
| eval_rare_precision           |      0.4 |
+-------------------------------+----------+
| eval_rare_recall              | 0.001672 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.245588 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.107489 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.200368 |
+-------------------------------+----------+
| eval_rare_recall_at_8         |  0.12225 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.126471 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.149956 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        | 0.507353 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        | 0.499533 |
+-------------------------------+----------+
| eval_not_rare_precision       | 0.507353 |
+-------------------------------+----------+
| eval_not_rare_recall          | 0.507353 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.080882 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.050551 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.026961 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.404412 |
+-------------------------------+----------+
| eval_loss                     | 0.104214 |
+-------------------------------+----------+ - [multilabel_classify.py:1855:on_evaluate]
2025-06-05 15:45:30,011 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-90 - [multilabel_classify.py:2093:_save]
2025-06-05 15:45:30,012 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-90 - [multilabel_classify.py:2098:_save]
2025-06-05 15:45:30,013 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-90:
+---------+-------------------+------------+
|   Index | Saved File        | Size       |
+=========+===================+============+
|       1 | training_args.bin | 0.01 MB    |
+---------+-------------------+------------+
|       2 | model.safetensors | 4267.74 MB |
+---------+-------------------+------------+
|       3 | config.json       | 0.00 MB    |
+---------+-------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:45:50,487 - INFO - 
🚂 Training Metrics (Step 100) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0891 |
+---------------+----------+
| grad_norm     | 0.162411 |
+---------------+----------+
| learning_rate |  1.8e-05 |
+---------------+----------+
| epoch         |  5.56338 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:46:04,470 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2000:evaluate]
2025-06-05 15:46:39,381 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 | 0.041747 |
+-------------------------------+----------+
| eval_f1_macro                 | 0.001271 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.276471 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.116576 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.235294 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.144086 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.153431 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.174813 |
+-------------------------------+----------+
| eval_rare_f1_micro            | 0.013093 |
+-------------------------------+----------+
| eval_rare_f1_macro            | 0.000634 |
+-------------------------------+----------+
| eval_rare_precision           | 0.307692 |
+-------------------------------+----------+
| eval_rare_recall              | 0.006689 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.236765 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.101155 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.200368 |
+-------------------------------+----------+
| eval_rare_recall_at_8         |  0.12225 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.126471 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.149956 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        | 0.507353 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        | 0.506044 |
+-------------------------------+----------+
| eval_not_rare_precision       | 0.507353 |
+-------------------------------+----------+
| eval_not_rare_recall          | 0.507353 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.080882 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.050551 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.026961 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.404412 |
+-------------------------------+----------+
| eval_loss                     | 0.101633 |
+-------------------------------+----------+ - [multilabel_classify.py:1855:on_evaluate]
2025-06-05 15:46:40,584 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-108 - [multilabel_classify.py:2093:_save]
2025-06-05 15:46:40,585 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-108 - [multilabel_classify.py:2098:_save]
2025-06-05 15:46:40,586 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-108:
+---------+-------------------+------------+
|   Index | Saved File        | Size       |
+=========+===================+============+
|       1 | training_args.bin | 0.01 MB    |
+---------+-------------------+------------+
|       2 | model.safetensors | 4267.74 MB |
+---------+-------------------+------------+
|       3 | config.json       | 0.00 MB    |
+---------+-------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:46:46,602 - INFO - 
🚂 Training Metrics (Step 110) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.0844 |
+---------------+----------+
| grad_norm     | 0.075479 |
+---------------+----------+
| learning_rate |    5e-06 |
+---------------+----------+
| epoch         |  6.11268 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:47:04,125 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-119 - [multilabel_classify.py:2093:_save]
2025-06-05 15:47:04,126 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-119 - [multilabel_classify.py:2098:_save]
2025-06-05 15:47:04,127 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-119:
+---------+-------------------+------------+
|   Index | Saved File        | Size       |
+=========+===================+============+
|       1 | training_args.bin | 0.01 MB    |
+---------+-------------------+------------+
|       2 | model.safetensors | 4267.74 MB |
+---------+-------------------+------------+
|       3 | config.json       | 0.00 MB    |
+---------+-------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:47:04,430 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2000:evaluate]
2025-06-05 15:47:39,440 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 | 0.037369 |
+-------------------------------+----------+
| eval_f1_macro                 | 0.001265 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.276471 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.116576 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.235294 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.144086 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.153431 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.174813 |
+-------------------------------+----------+
| eval_rare_f1_micro            | 0.011508 |
+-------------------------------+----------+
| eval_rare_f1_macro            | 0.000666 |
+-------------------------------+----------+
| eval_rare_precision           | 0.341463 |
+-------------------------------+----------+
| eval_rare_recall              | 0.005853 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.232353 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.098451 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.200368 |
+-------------------------------+----------+
| eval_rare_recall_at_8         |  0.12225 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.126471 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.149956 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        |      0.5 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        |      0.5 |
+-------------------------------+----------+
| eval_not_rare_precision       |      0.5 |
+-------------------------------+----------+
| eval_not_rare_recall          |      0.5 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.080882 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.050551 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.404412 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.026961 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.404412 |
+-------------------------------+----------+
| eval_loss                     | 0.101503 |
+-------------------------------+----------+ - [multilabel_classify.py:1855:on_evaluate]
2025-06-05 15:47:43,196 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-119 - [multilabel_classify.py:2093:_save]
2025-06-05 15:47:43,198 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-119 - [multilabel_classify.py:2098:_save]
2025-06-05 15:47:43,199 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-119:
+---------+--------------------+------------+
|   Index | Saved File         | Size       |
+=========+====================+============+
|       1 | training_args.bin  | 0.01 MB    |
+---------+--------------------+------------+
|       2 | optimizer.pt       | 642.30 MB  |
+---------+--------------------+------------+
|       3 | model.safetensors  | 4267.74 MB |
+---------+--------------------+------------+
|       4 | scaler.pt          | 0.00 MB    |
+---------+--------------------+------------+
|       5 | config.json        | 0.00 MB    |
+---------+--------------------+------------+
|       6 | scheduler.pt       | 0.00 MB    |
+---------+--------------------+------------+
|       7 | trainer_state.json | 0.01 MB    |
+---------+--------------------+------------+
|       8 | rng_state.pth      | 0.01 MB    |
+---------+--------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:47:43,564 - INFO - 📂 Loading best model from ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-90 - [multilabel_classify.py:2167:_load_best_model]
2025-06-05 15:47:43,565 - INFO - 🖥️ Model is on device: cuda:0 - [multilabel_classify.py:2177:_load_best_model]
2025-06-05 15:47:43,617 - 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:2201:_load_best_model]
2025-06-05 15:47:44,629 - INFO - ✅ Loaded best model weights from ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-90/model.safetensors - [multilabel_classify.py:2218:_load_best_model]
2025-06-05 15:47:44,653 - INFO - ✔️ Weight for boost_mul matches between saved and loaded state_dict - [multilabel_classify.py:2230:_load_best_model]
2025-06-05 15:47:44,676 - INFO - ✔️ Weight for boost_add matches between saved and loaded state_dict - [multilabel_classify.py:2230:_load_best_model]
2025-06-05 15:47:44,691 - INFO - 
🚂 Training Metrics (Step 119) 🚂
+--------------------------+----------+
| Metric                   |    Value |
+==========================+==========+
| train_runtime            |  487.858 |
+--------------------------+----------+
| train_samples_per_second |    8.136 |
+--------------------------+----------+
| train_steps_per_second   |    0.244 |
+--------------------------+----------+
| total_flos               |        0 |
+--------------------------+----------+
| train_loss               | 0.095432 |
+--------------------------+----------+
| epoch                    |  6.61972 |
+--------------------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:47:44,692 - INFO - ✨ Training Completed! ✨ - [multilabel_classify.py:1709:on_train_end]
2025-06-05 15:47:44,763 - INFO - 📊 Training loss plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/train_loss_plot.png' - [multilabel_classify.py:1905:on_train_end]
2025-06-05 15:47:44,825 - INFO - 📊 Evaluation loss plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/eval_loss_plot.png' - [multilabel_classify.py:1919:on_train_end]
2025-06-05 15:47:44,881 - INFO - 📊 Evaluation metric plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/eval_precision_at_15_plot.png' - [multilabel_classify.py:1940:on_train_end]
2025-06-05 15:47:44,881 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:47:44,882 - INFO - +                                 ✨ MODEL SAVING                                 + - [multilabel_classify.py:101:log_section]
2025-06-05 15:47:44,882 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:47:44,882 - INFO - 💾 Saving trained model and pushing to Hugging Face Hub... - [multilabel_classify.py:3708:main]
2025-06-05 15:47:44,882 - INFO - 📁 Creating/using output directory: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2693:save_and_push]
2025-06-05 15:47:46,066 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2093:_save]
2025-06-05 15:47:46,067 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2098:_save]
2025-06-05 15:47:46,068 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b:
+---------+-------------------------------+------------+
|   Index | Saved File                    | Size       |
+=========+===============================+============+
|       1 | eval_loss_plot.png            | 0.04 MB    |
+---------+-------------------------------+------------+
|       2 | training_args.bin             | 0.01 MB    |
+---------+-------------------------------+------------+
|       3 | model.safetensors             | 4267.74 MB |
+---------+-------------------------------+------------+
|       4 | config.json                   | 0.00 MB    |
+---------+-------------------------------+------------+
|       5 | train_loss_plot.png           | 0.04 MB    |
+---------+-------------------------------+------------+
|       6 | eval_precision_at_15_plot.png | 0.03 MB    |
+---------+-------------------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:47:49,635 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2093:_save]
2025-06-05 15:47:49,637 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2098:_save]
2025-06-05 15:47:49,638 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b:
+---------+-------------------------------+------------+
|   Index | Saved File                    | Size       |
+=========+===============================+============+
|       1 | eval_loss_plot.png            | 0.04 MB    |
+---------+-------------------------------+------------+
|       2 | training_args.bin             | 0.01 MB    |
+---------+-------------------------------+------------+
|       3 | model.safetensors             | 4267.74 MB |
+---------+-------------------------------+------------+
|       4 | config.json                   | 0.00 MB    |
+---------+-------------------------------+------------+
|       5 | train_loss_plot.png           | 0.04 MB    |
+---------+-------------------------------+------------+
|       6 | eval_precision_at_15_plot.png | 0.03 MB    |
+---------+-------------------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:49:10,190 - INFO - 💾 Model saved to: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2697:save_and_push]
2025-06-05 15:49:10,219 - INFO - 🖌️ Tokenizer saved to: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2701:save_and_push]