classification_log_2025-06-05_15-02-25.log

2025-06-05 15:02:25,280 - INFO - ================================================================================ - [multilabel_classify.py:100:log_section]
2025-06-05 15:02:25,281 - INFO - =                      📌 INITIALIZING TRAINING ENVIRONMENT                       = - [multilabel_classify.py:101:log_section]
2025-06-05 15:02:25,281 - INFO - ================================================================================ - [multilabel_classify.py:104:log_section]
2025-06-05 15:02:25,281 - INFO - 🚀 Setting up data paths and environment variables... - [multilabel_classify.py:3560:main]
2025-06-05 15:02:25,281 - INFO - 📂 Using output directory: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3566:main]
2025-06-05 15:02:25,281 - INFO - 🛠️ Command-line Arguments: - [multilabel_classify.py:368:print_args]
2025-06-05 15:02:25,281 - 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: 4
  🔹 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_2025-06-05_15-02-25.log
  🔹 source: /home/ubuntu/.xcube/data/mimic4_demo - [multilabel_classify.py:369:print_args]
2025-06-05 15:02:25,281 - INFO - ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ - [multilabel_classify.py:370:print_args]
2025-06-05 15:02:25,281 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:02:25,281 - INFO - +                               ✨ LOADING DATASETS                               + - [multilabel_classify.py:101:log_section]
2025-06-05 15:02:25,281 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:02:25,282 - INFO - 📊 Loading main datasets.... - [multilabel_classify.py:3572:main]
2025-06-05 15:02:33,869 - INFO - 🔍 Total unique labels in dataset: 7942 - [multilabel_classify.py:3353:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,882 - INFO - 🧪 Attempt 1: Sampled 122 rows covering 863 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,892 - INFO - 🧪 Attempt 2: Sampled 122 rows covering 816 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,901 - INFO - 🧪 Attempt 3: Sampled 122 rows covering 885 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,910 - INFO - 🧪 Attempt 4: Sampled 122 rows covering 828 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,920 - INFO - 🧪 Attempt 5: Sampled 122 rows covering 879 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,928 - INFO - 🧪 Attempt 6: Sampled 122 rows covering 852 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,937 - INFO - 🧪 Attempt 7: Sampled 122 rows covering 838 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,946 - INFO - 🧪 Attempt 8: Sampled 122 rows covering 851 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,955 - INFO - 🧪 Attempt 9: Sampled 122 rows covering 825 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,964 - INFO - 🧪 Attempt 10: Sampled 122 rows covering 833 labels. - [multilabel_classify.py:3367:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,964 - INFO - ⚠️ Skipping label coverage fix. 7109 labels are missing. - [multilabel_classify.py:3385:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,964 - INFO - ✅ Final row count: 122 (Valid: 20, Not-valid: 102) - [multilabel_classify.py:3390:sample_df_with_full_label_coverage]
2025-06-05 15:02:33,983 - INFO - ******************************************************************************** - [multilabel_classify.py:100:log_section]
2025-06-05 15:02:33,983 - INFO - *              🌟 STARTING MULTI_LABEL CLASSIFICATION MODEL TRAINING              * - [multilabel_classify.py:101:log_section]
2025-06-05 15:02:33,983 - INFO - ******************************************************************************** - [multilabel_classify.py:104:log_section]
2025-06-05 15:02:33,983 - INFO - 🔐 Loaded authentication token from environment - [multilabel_classify.py:3599:main]
2025-06-05 15:02:33,983 - 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 15:02:33,984 - INFO - -------------------------------------------------------------------------------- - [multilabel_classify.py:100:log_section]
2025-06-05 15:02:33,984 - INFO - -                            📋 MODEL EXISTENCE CHECK                             - - [multilabel_classify.py:101:log_section]
2025-06-05 15:02:33,984 - INFO - -------------------------------------------------------------------------------- - [multilabel_classify.py:104:log_section]
2025-06-05 15:02:33,984 - INFO - 🔍 Checking model existence locally and on Hugging Face Hub... - [multilabel_classify.py:3468:check_model_existence]
2025-06-05 15:02:33,984 - INFO - ✅ Model exists locally at: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3473:check_model_existence]
2025-06-05 15:02:34,066 - 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 15:02:34,066 - INFO - 📁 Model exists either locally or on Hub - [multilabel_classify.py:3513:check_model_existence]
2025-06-05 15:02:34,067 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:02:34,067 - INFO - +                           ✨ STARTING FRESH TRAINING                            + - [multilabel_classify.py:101:log_section]
2025-06-05 15:02:34,067 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:02:34,067 - INFO - 🔄 Starting fresh training (either forced or model not found)... - [multilabel_classify.py:3616:main]
2025-06-05 15:02:34,081 - 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 15:02:34,081 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:02:34,081 - INFO - +                              ✨ LOADING BASE MODEL                              + - [multilabel_classify.py:101:log_section]
2025-06-05 15:02:34,081 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:02:34,081 - INFO - 📥 Loading pretrained model and tokenizer... - [multilabel_classify.py:3646:main]
2025-06-05 15:02:34,081 - INFO - 🚀 Starting model and tokenizer loading process... - [multilabel_classify.py:1243:load_base_model_and_tokenizer]
2025-06-05 15:02:34,082 - 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 15:02:34,082 - 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 15:02:34,439 - 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 15:02:34,464 - INFO - ✅ Detected PEFT model. Base model: mistralai/Mistral-7B-Instruct-v0.3 - [multilabel_classify.py:1272:load_base_model_and_tokenizer]
2025-06-05 15:02:34,464 - INFO - 🔍 Loading model configuration for mistralai/Mistral-7B-Instruct-v0.3... - [multilabel_classify.py:1282:load_base_model_and_tokenizer]
2025-06-05 15:02:34,496 - INFO - Model type: mistral, Architectures: ['MistralForCausalLM'] - [multilabel_classify.py:1288:load_base_model_and_tokenizer]
2025-06-05 15:02:34,496 - INFO - 🧠 Loading base model: mistralai/Mistral-7B-Instruct-v0.3... - [multilabel_classify.py:1351:load_base_model_and_tokenizer]
2025-06-05 15:02:35,026 - 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 15:02:40,290 - 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 15:02:40,733 - INFO - 🔧 Before enabling PEFT adapters for training - [multilabel_classify.py:1368:load_base_model_and_tokenizer]
2025-06-05 15:02:40,735 - INFO - 📊 trainable params: 0 || all params: 7,254,839,296 || trainable%: 0.0000 - [multilabel_classify.py:159:log_print_output]
2025-06-05 15:02:40,738 - INFO - 🔧 After Enabling PEFT adapters for training - [multilabel_classify.py:1375:load_base_model_and_tokenizer]
2025-06-05 15:02:40,740 - 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 15:02:40,741 - INFO - ✅ Model and tokenizer successfully loaded! - [multilabel_classify.py:1416:load_base_model_and_tokenizer]
2025-06-05 15:02:40,741 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:02:40,741 - INFO - +                              ✨ DATA PREPROCESSING                              + - [multilabel_classify.py:101:log_section]
2025-06-05 15:02:40,741 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:02:40,742 - INFO - 🔄 Loading and preprocessing training data... - [multilabel_classify.py:3654:main]
2025-06-05 15:02:40,746 - INFO - Total number of labels: 833 - [multilabel_classify.py:1044:preprocess_data]
2025-06-05 15:02:40,746 - INFO - Rare labels (freq < 50): 832 - [multilabel_classify.py:1045:preprocess_data]
2025-06-05 15:02:40,746 - INFO - Not rare labels (freq >= 50): 1 - [multilabel_classify.py:1046:preprocess_data]
2025-06-05 15:02:40,746 - INFO - Label partitions and classes saved to ../tmp/MIMIC4_DEMO/labels_partition.json - [multilabel_classify.py:1047:preprocess_data]
2025-06-05 15:02:42,069 - INFO - The size of training set: 567 - [multilabel_classify.py:1143:preprocess_data]
2025-06-05 15:02:42,069 - INFO - The size of Evaluation set: 136 - [multilabel_classify.py:1144:preprocess_data]
2025-06-05 15:02:42,074 - INFO - Number of unique ICD-10 codes: 833 - [multilabel_classify.py:3660:main]
2025-06-05 15:02:42,074 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:02:42,074 - INFO - +                             ✨ MODEL INITIALIZATION                             + - [multilabel_classify.py:101:log_section]
2025-06-05 15:02:42,074 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:02:42,075 - INFO - 🧠 Initializing custom L2R model for outputting per-token relevance scores per ICD-10 codes. - [multilabel_classify.py:3663:main]
2025-06-05 15:02:42,075 - INFO - Will now start to create Multilabel-Classification Model from the base model - [multilabel_classify.py:560:__init__]
2025-06-05 15:02:42,078 - 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 15:02:42,416 - 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 15:02:42,419 - 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 15:02:42,419 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:02:42,419 - INFO - +                             ✨ TRAINING PREPARATION                             + - [multilabel_classify.py:101:log_section]
2025-06-05 15:02:42,419 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:02:42,419 - INFO - ⚙️ Preparing training components and optimizers... - [multilabel_classify.py:3670:main]
2025-06-05 15:02:42,476 - INFO - 🖥️ Device: NVIDIA GH200 480GB - [multilabel_classify.py:891:log_training_configuration]
2025-06-05 15:02:42,476 - INFO - 🔋 CUDA Available: True - [multilabel_classify.py:894:log_training_configuration]
2025-06-05 15:02:42,476 - INFO - 💾 CUDA Device Count: 1 - [multilabel_classify.py:895:log_training_configuration]
2025-06-05 15:02:42,478 - INFO - 
📋 Training Configuration 📋
+----------+-----------------------------+------------------------------------------------------------------+
| 🌟 Emoji |         🏷️ Parameter         |                             📊 Value                             |
+----------+-----------------------------+------------------------------------------------------------------+
|    📁    |      Output Directory       |           ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b           |
|    🔁    |       Training Epochs       |                                4                                 |
|    🏋️     |      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       |                                17                                |
|    🔢    |    Total Training Steps     |                                68                                |
|    🔢    |      Evaluation Steps       |                                17                                |
|    📊    |    Training Dataset Size    |                          567 samples 🏋️                           |
|    📊    |   Evaluation Dataset Size   |                          136 samples 🔍                          |
+----------+-----------------------------+------------------------------------------------------------------+ - [multilabel_classify.py:883:log_training_args]
2025-06-05 15:02:42,478 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:02:42,478 - INFO - +                                ✨ MODEL TRAINING                                + - [multilabel_classify.py:101:log_section]
2025-06-05 15:02:42,478 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:02:42,479 - INFO - 🏋️ Starting model training process... - [multilabel_classify.py:3692:main]
2025-06-05 15:02:42,520 - INFO - We are registering the tokenizer deb101/mistral-7b-instruct-v0.3-mimic4-adapt in Custom Trainer - [multilabel_classify.py:1988:__init__]
2025-06-05 15:02:42,770 - INFO - 🚀 Starting Training... - [multilabel_classify.py:1642:on_train_begin]
2025-06-05 15:03:03,122 - INFO - 
🚂 Training Metrics (Step 10) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          |  0.6384 |
+---------------+---------+
| grad_norm     | 6.84453 |
+---------------+---------+
| learning_rate |   2e-06 |
+---------------+---------+
| epoch         | 0.56338 |
+---------------+---------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:03:17,100 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2000:evaluate]
2025-06-05 15:03:52,220 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 |        0 |
+-------------------------------+----------+
| eval_f1_macro                 |        0 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.036765 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.008744 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.037684 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.017401 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.037745 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.032384 |
+-------------------------------+----------+
| eval_rare_f1_micro            |        0 |
+-------------------------------+----------+
| eval_rare_f1_macro            |        0 |
+-------------------------------+----------+
| eval_rare_precision           |        0 |
+-------------------------------+----------+
| eval_rare_recall              |        0 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.029412 |
+-------------------------------+----------+
| eval_rare_recall_at_5         |  0.00805 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.026654 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.010721 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.027451 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.021147 |
+-------------------------------+----------+
| 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                     | 0.229106 |
+-------------------------------+----------+ - [multilabel_classify.py:1855:on_evaluate]
2025-06-05 15:03:55,736 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-18 - [multilabel_classify.py:2093:_save]
2025-06-05 15:03:55,737 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-18 - [multilabel_classify.py:2098:_save]
2025-06-05 15:03:55,738 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-18:
+---------+--------------------+------------+
|   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 | 0.00 MB    |
+---------+--------------------+------------+
|       8 | rng_state.pth      | 0.01 MB    |
+---------+--------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:04:01,845 - INFO - 
🚂 Training Metrics (Step 20) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          |   0.345 |
+---------------+---------+
| grad_norm     | 2.53065 |
+---------------+---------+
| learning_rate |   4e-06 |
+---------------+---------+
| epoch         | 1.11268 |
+---------------+---------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:04:19,966 - INFO - 
🚂 Training Metrics (Step 30) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.1265 |
+---------------+----------+
| grad_norm     | 0.237818 |
+---------------+----------+
| learning_rate |    6e-06 |
+---------------+----------+
| epoch         |  1.67606 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:04:30,351 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2000:evaluate]
2025-06-05 15:05:05,550 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 |        0 |
+-------------------------------+----------+
| eval_f1_macro                 |        0 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.041176 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.009645 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.039522 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.016571 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.037255 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.030333 |
+-------------------------------+----------+
| eval_rare_f1_micro            |        0 |
+-------------------------------+----------+
| eval_rare_f1_macro            |        0 |
+-------------------------------+----------+
| eval_rare_precision           |        0 |
+-------------------------------+----------+
| eval_rare_recall              |        0 |
+-------------------------------+----------+
| eval_rare_precision_at_5      |    0.025 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.004753 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.027574 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.010902 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.028431 |
+-------------------------------+----------+
| eval_rare_recall_at_15        |  0.02441 |
+-------------------------------+----------+
| 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                     |  0.12156 |
+-------------------------------+----------+ - [multilabel_classify.py:1855:on_evaluate]
2025-06-05 15:05:09,029 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-36 - [multilabel_classify.py:2093:_save]
2025-06-05 15:05:09,030 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-36 - [multilabel_classify.py:2098:_save]
2025-06-05 15:05:09,031 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-36:
+---------+--------------------+------------+
|   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 | 0.00 MB    |
+---------+--------------------+------------+
|       8 | rng_state.pth      | 0.01 MB    |
+---------+--------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:05:19,082 - INFO - 
🚂 Training Metrics (Step 40) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.1096 |
+---------------+----------+
| grad_norm     | 0.465592 |
+---------------+----------+
| learning_rate |    8e-06 |
+---------------+----------+
| epoch         |  2.22535 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:05:37,209 - INFO - 
🚂 Training Metrics (Step 50) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.1092 |
+---------------+----------+
| grad_norm     | 0.099644 |
+---------------+----------+
| learning_rate |    1e-05 |
+---------------+----------+
| epoch         |  2.78873 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:05:43,993 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2000:evaluate]
2025-06-05 15:06:19,081 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 |        0 |
+-------------------------------+----------+
| eval_f1_macro                 |        0 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.116176 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.039057 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.100184 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.059546 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.081373 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.089004 |
+-------------------------------+----------+
| eval_rare_f1_micro            |        0 |
+-------------------------------+----------+
| eval_rare_f1_macro            |        0 |
+-------------------------------+----------+
| eval_rare_precision           |        0 |
+-------------------------------+----------+
| eval_rare_recall              |        0 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.060294 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.020816 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.057904 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.033152 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.056373 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.059526 |
+-------------------------------+----------+
| 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                     | 0.106887 |
+-------------------------------+----------+ - [multilabel_classify.py:1855:on_evaluate]
2025-06-05 15:06:22,738 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-54 - [multilabel_classify.py:2093:_save]
2025-06-05 15:06:22,739 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-54 - [multilabel_classify.py:2098:_save]
2025-06-05 15:06:22,740 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-54:
+---------+--------------------+------------+
|   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 15:06:36,356 - INFO - 
🚂 Training Metrics (Step 60) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   0.1033 |
+---------------+----------+
| grad_norm     | 0.216208 |
+---------------+----------+
| learning_rate |  1.2e-05 |
+---------------+----------+
| epoch         |  3.33803 |
+---------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:06:54,505 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68 - [multilabel_classify.py:2093:_save]
2025-06-05 15:06:54,507 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68 - [multilabel_classify.py:2098:_save]
2025-06-05 15:06:54,508 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68:
+---------+--------------------+------------+
|   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 15:06:54,897 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2000:evaluate]
2025-06-05 15:07:30,167 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 |        0 |
+-------------------------------+----------+
| eval_f1_macro                 |        0 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.227941 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.094901 |
+-------------------------------+----------+
| eval_precision_at_8           |  0.16636 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.103783 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.113725 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.128501 |
+-------------------------------+----------+
| eval_rare_f1_micro            |        0 |
+-------------------------------+----------+
| eval_rare_f1_macro            |        0 |
+-------------------------------+----------+
| eval_rare_precision           |        0 |
+-------------------------------+----------+
| eval_rare_recall              |        0 |
+-------------------------------+----------+
| eval_rare_precision_at_5      |     0.15 |
+-------------------------------+----------+
| eval_rare_recall_at_5         |  0.06448 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.120404 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.078831 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.087255 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.099736 |
+-------------------------------+----------+
| 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                     | 0.104832 |
+-------------------------------+----------+ - [multilabel_classify.py:1855:on_evaluate]
2025-06-05 15:07:33,859 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68 - [multilabel_classify.py:2093:_save]
2025-06-05 15:07:33,860 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68 - [multilabel_classify.py:2098:_save]
2025-06-05 15:07:33,862 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68:
+---------+--------------------+------------+
|   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 15:07:34,327 - INFO - 📂 Loading best model from ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68 - [multilabel_classify.py:2167:_load_best_model]
2025-06-05 15:07:34,327 - INFO - 🖥️ Model is on device: cuda:0 - [multilabel_classify.py:2177:_load_best_model]
2025-06-05 15:07:34,399 - 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 15:07:35,427 - INFO - ✅ Loaded best model weights from ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-68/model.safetensors - [multilabel_classify.py:2218:_load_best_model]
2025-06-05 15:07:35,452 - INFO - ✔️ Weight for boost_mul matches between saved and loaded state_dict - [multilabel_classify.py:2230:_load_best_model]
2025-06-05 15:07:35,475 - INFO - ✔️ Weight for boost_add matches between saved and loaded state_dict - [multilabel_classify.py:2230:_load_best_model]
2025-06-05 15:07:35,490 - INFO - 
🚂 Training Metrics (Step 68) 🚂
+--------------------------+----------+
| Metric                   |    Value |
+==========================+==========+
| train_runtime            |  292.721 |
+--------------------------+----------+
| train_samples_per_second |    7.748 |
+--------------------------+----------+
| train_steps_per_second   |    0.232 |
+--------------------------+----------+
| total_flos               |        0 |
+--------------------------+----------+
| train_loss               | 0.222837 |
+--------------------------+----------+
| epoch                    |  3.78873 |
+--------------------------+----------+ - [multilabel_classify.py:1836:on_log]
2025-06-05 15:07:35,490 - INFO - ✨ Training Completed! ✨ - [multilabel_classify.py:1709:on_train_end]
2025-06-05 15:07:35,559 - 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 15:07:35,619 - 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 15:07:35,680 - 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 15:07:35,680 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:100:log_section]
2025-06-05 15:07:35,680 - INFO - +                                 ✨ MODEL SAVING                                 + - [multilabel_classify.py:101:log_section]
2025-06-05 15:07:35,680 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:104:log_section]
2025-06-05 15:07:35,680 - INFO - 💾 Saving trained model and pushing to Hugging Face Hub... - [multilabel_classify.py:3706:main]
2025-06-05 15:07:35,680 - INFO - 📁 Creating/using output directory: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2693:save_and_push]
2025-06-05 15:07:39,183 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2093:_save]
2025-06-05 15:07:39,184 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2098:_save]
2025-06-05 15:07:39,186 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b:
+---------+--------------------------------------------+------------+
|   Index | Saved File                                 | Size       |
+=========+============================================+============+
|       1 | eval_loss_plot.png                         | 0.03 MB    |
+---------+--------------------------------------------+------------+
|       2 | training_args.bin                          | 0.01 MB    |
+---------+--------------------------------------------+------------+
|       3 | tokenizer.model                            | 0.56 MB    |
+---------+--------------------------------------------+------------+
|       4 | tokenizer.json                             | 3.50 MB    |
+---------+--------------------------------------------+------------+
|       5 | model.safetensors                          | 4267.74 MB |
+---------+--------------------------------------------+------------+
|       6 | config.json                                | 0.00 MB    |
+---------+--------------------------------------------+------------+
|       7 | special_tokens_map.json                    | 0.00 MB    |
+---------+--------------------------------------------+------------+
|       8 | tokenizer_config.json                      | 0.13 MB    |
+---------+--------------------------------------------+------------+
|       9 | train_loss_plot.png                        | 0.02 MB    |
+---------+--------------------------------------------+------------+
|      10 | eval_precision_at_15_plot.png              | 0.03 MB    |
+---------+--------------------------------------------+------------+
|      11 | README.md                                  | 0.01 MB    |
+---------+--------------------------------------------+------------+
|      12 | classification_log_2025-06-05_14-33-04.log | 0.04 MB    |
+---------+--------------------------------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:07:42,412 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2093:_save]
2025-06-05 15:07:42,413 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2098:_save]
2025-06-05 15:07:42,415 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b:
+---------+--------------------------------------------+------------+
|   Index | Saved File                                 | Size       |
+=========+============================================+============+
|       1 | eval_loss_plot.png                         | 0.03 MB    |
+---------+--------------------------------------------+------------+
|       2 | training_args.bin                          | 0.01 MB    |
+---------+--------------------------------------------+------------+
|       3 | tokenizer.model                            | 0.56 MB    |
+---------+--------------------------------------------+------------+
|       4 | tokenizer.json                             | 3.50 MB    |
+---------+--------------------------------------------+------------+
|       5 | model.safetensors                          | 4267.74 MB |
+---------+--------------------------------------------+------------+
|       6 | config.json                                | 0.00 MB    |
+---------+--------------------------------------------+------------+
|       7 | special_tokens_map.json                    | 0.00 MB    |
+---------+--------------------------------------------+------------+
|       8 | tokenizer_config.json                      | 0.13 MB    |
+---------+--------------------------------------------+------------+
|       9 | train_loss_plot.png                        | 0.02 MB    |
+---------+--------------------------------------------+------------+
|      10 | eval_precision_at_15_plot.png              | 0.03 MB    |
+---------+--------------------------------------------+------------+
|      11 | README.md                                  | 0.01 MB    |
+---------+--------------------------------------------+------------+
|      12 | classification_log_2025-06-05_14-33-04.log | 0.04 MB    |
+---------+--------------------------------------------+------------+ - [multilabel_classify.py:2115:_save]
2025-06-05 15:09:03,581 - INFO - 💾 Model saved to: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2697:save_and_push]
2025-06-05 15:09:03,611 - INFO - 🖌️ Tokenizer saved to: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2701:save_and_push]