classification_log_2025-06-16_21-42-41.log

2025-06-16 21:42:41,136 - INFO - ================================================================================ - [multilabel_classify.py:103:log_section]
2025-06-16 21:42:41,136 - INFO - =                      📌 INITIALIZING TRAINING ENVIRONMENT                       = - [multilabel_classify.py:104:log_section]
2025-06-16 21:42:41,136 - INFO - ================================================================================ - [multilabel_classify.py:107:log_section]
2025-06-16 21:42:41,136 - INFO - 🚀 Setting up data paths and environment variables... - [multilabel_classify.py:3940:main]
2025-06-16 21:42:41,137 - INFO - 📂 Using output directory: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3946:main]
2025-06-16 21:42:41,137 - INFO - 🛠️ Command-line Arguments: - [multilabel_classify.py:371:print_args]
2025-06-16 21:42:41,137 - 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: 5
  🔹 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_2025-06-16_21-42-41.log
  🔹 source: /home/ubuntu/.xcube/data/mimic4_demo - [multilabel_classify.py:372:print_args]
2025-06-16 21:42:41,137 - INFO - ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ - [multilabel_classify.py:373:print_args]
2025-06-16 21:42:41,148 - INFO - 
🚀 Quick Git Info: 📁 xcube | 🌿 plant | 🔍 9a164a6 | 👤 Debjyoti Saha Roy | 🟢 STAGED (1) | 🔬 git show 9a164a6 - [multilabel_classify.py:3952:main]
2025-06-16 21:42:41,148 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:103:log_section]
2025-06-16 21:42:41,148 - INFO - +                               ✨ LOADING DATASETS                               + - [multilabel_classify.py:104:log_section]
2025-06-16 21:42:41,148 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:107:log_section]
2025-06-16 21:42:41,148 - INFO - 📊 Loading main datasets.... - [multilabel_classify.py:3955:main]
2025-06-16 21:42:49,755 - INFO - 🔍 Total unique labels in dataset: 7942 - [multilabel_classify.py:3731:sample_df_with_full_label_coverage]
2025-06-16 21:42:49,768 - INFO - 🧪 Attempt 1: Sampled 122 rows covering 863 labels. - [multilabel_classify.py:3745:sample_df_with_full_label_coverage]
2025-06-16 21:42:49,777 - INFO - 🧪 Attempt 2: Sampled 122 rows covering 816 labels. - [multilabel_classify.py:3745:sample_df_with_full_label_coverage]
2025-06-16 21:42:49,786 - INFO - 🧪 Attempt 3: Sampled 122 rows covering 885 labels. - [multilabel_classify.py:3745:sample_df_with_full_label_coverage]
2025-06-16 21:42:49,795 - INFO - 🧪 Attempt 4: Sampled 122 rows covering 828 labels. - [multilabel_classify.py:3745:sample_df_with_full_label_coverage]
2025-06-16 21:42:49,804 - INFO - 🧪 Attempt 5: Sampled 122 rows covering 879 labels. - [multilabel_classify.py:3745:sample_df_with_full_label_coverage]
2025-06-16 21:42:49,813 - INFO - 🧪 Attempt 6: Sampled 122 rows covering 852 labels. - [multilabel_classify.py:3745:sample_df_with_full_label_coverage]
2025-06-16 21:42:49,821 - INFO - 🧪 Attempt 7: Sampled 122 rows covering 838 labels. - [multilabel_classify.py:3745:sample_df_with_full_label_coverage]
2025-06-16 21:42:49,831 - INFO - 🧪 Attempt 8: Sampled 122 rows covering 851 labels. - [multilabel_classify.py:3745:sample_df_with_full_label_coverage]
2025-06-16 21:42:49,839 - INFO - 🧪 Attempt 9: Sampled 122 rows covering 825 labels. - [multilabel_classify.py:3745:sample_df_with_full_label_coverage]
2025-06-16 21:42:49,848 - INFO - 🧪 Attempt 10: Sampled 122 rows covering 833 labels. - [multilabel_classify.py:3745:sample_df_with_full_label_coverage]
2025-06-16 21:42:49,852 - INFO - 🛠️ Fixing missing labels: 7109 remaining... - [multilabel_classify.py:3778:sample_df_with_full_label_coverage]
2025-06-16 21:46:19,271 - INFO - ✅ Added 1648 rows to achieve full label coverage. - [multilabel_classify.py:3810:sample_df_with_full_label_coverage]
2025-06-16 21:46:19,274 - INFO - 📊 Final total labels: 7942 - [multilabel_classify.py:3813:sample_df_with_full_label_coverage]
2025-06-16 21:46:19,274 - INFO - ✅ Final row count: 1770 (Valid: 420, Not-valid: 1350) - [multilabel_classify.py:3821:sample_df_with_full_label_coverage]
2025-06-16 21:46:20,015 - INFO - ******************************************************************************** - [multilabel_classify.py:103:log_section]
2025-06-16 21:46:20,015 - INFO - *              🌟 STARTING MULTI_LABEL CLASSIFICATION MODEL TRAINING              * - [multilabel_classify.py:104:log_section]
2025-06-16 21:46:20,015 - INFO - ******************************************************************************** - [multilabel_classify.py:107:log_section]
2025-06-16 21:46:20,015 - INFO - 🔐 Loaded authentication token from environment - [multilabel_classify.py:3982:main]
2025-06-16 21:46:20,015 - INFO - 🏷️ Hub Model ID for this Classification task: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:3986:main]
2025-06-16 21:46:20,016 - INFO - -------------------------------------------------------------------------------- - [multilabel_classify.py:103:log_section]
2025-06-16 21:46:20,016 - INFO - -                            📋 MODEL EXISTENCE CHECK                             - - [multilabel_classify.py:104:log_section]
2025-06-16 21:46:20,016 - INFO - -------------------------------------------------------------------------------- - [multilabel_classify.py:107:log_section]
2025-06-16 21:46:20,016 - INFO - 🔍 Checking model existence locally and on Hugging Face Hub... - [multilabel_classify.py:3846:check_model_existence]
2025-06-16 21:46:20,016 - INFO - ✅ Model exists locally at: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3851:check_model_existence]
2025-06-16 21:46:20,070 - INFO - ✅ Model exists on Hugging Face Hub with ID: deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify - [multilabel_classify.py:3865:check_model_existence]
2025-06-16 21:46:20,070 - INFO - 📁 Model exists either locally or on Hub - [multilabel_classify.py:3891:check_model_existence]
2025-06-16 21:46:20,070 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:103:log_section]
2025-06-16 21:46:20,070 - INFO - +                           ✨ STARTING FRESH TRAINING                            + - [multilabel_classify.py:104:log_section]
2025-06-16 21:46:20,070 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:107:log_section]
2025-06-16 21:46:20,070 - INFO - 🔄 Starting fresh training (either forced or model not found)... - [multilabel_classify.py:3999:main]
2025-06-16 21:46:20,085 - 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]
2025-06-16 21:46:20,085 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:103:log_section]
2025-06-16 21:46:20,085 - INFO - +                              ✨ LOADING BASE MODEL                              + - [multilabel_classify.py:104:log_section]
2025-06-16 21:46:20,085 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:107:log_section]
2025-06-16 21:46:20,085 - INFO - 📥 Loading pretrained model and tokenizer... - [multilabel_classify.py:4031:main]
2025-06-16 21:46:20,085 - INFO - 🚀 Starting model and tokenizer loading process... - [multilabel_classify.py:1603:load_base_model_and_tokenizer]
2025-06-16 21:46:20,086 - INFO - 📊 Quantization config: 4-bit, nf4, double_quant, bfloat16 - [multilabel_classify.py:1612:load_base_model_and_tokenizer]
2025-06-16 21:46:20,086 - INFO - 🔤 Loading tokenizer for model: deb101/mistral-7b-instruct-v0.3-mimic4-adapt... - [multilabel_classify.py:1616:load_base_model_and_tokenizer]
2025-06-16 21:46:20,476 - INFO - 🔍 Checking if deb101/mistral-7b-instruct-v0.3-mimic4-adapt is a PEFT model... - [multilabel_classify.py:1627:load_base_model_and_tokenizer]
2025-06-16 21:46:20,498 - INFO - ✅ Detected PEFT model. Base model: mistralai/Mistral-7B-Instruct-v0.3 - [multilabel_classify.py:1631:load_base_model_and_tokenizer]
2025-06-16 21:46:20,498 - INFO - 🔍 Loading model configuration for mistralai/Mistral-7B-Instruct-v0.3... - [multilabel_classify.py:1639:load_base_model_and_tokenizer]
2025-06-16 21:46:20,521 - INFO - Model type: mistral, Architectures: ['MistralForCausalLM'] - [multilabel_classify.py:1654:load_base_model_and_tokenizer]
2025-06-16 21:46:20,521 - INFO - 🧠 Loading base model: mistralai/Mistral-7B-Instruct-v0.3... - [multilabel_classify.py:1722:load_base_model_and_tokenizer]
2025-06-16 21:46:21,030 - 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]
2025-06-16 21:46:26,310 - INFO - 🧩 Loading PEFT adapters for deb101/mistral-7b-instruct-v0.3-mimic4-adapt... - [multilabel_classify.py:1742:load_base_model_and_tokenizer]
2025-06-16 21:46:26,561 - INFO - 🔧 Before enabling PEFT adapters - [multilabel_classify.py:1744:load_base_model_and_tokenizer]
2025-06-16 21:46:26,563 - INFO - 📊 trainable params: 0 || all params: 7,254,839,296 || trainable%: 0.0000 - [multilabel_classify.py:162:log_print_output]
2025-06-16 21:46:26,567 - INFO - Enabled gradients for parameters: ['base_model.model.model.layers.0.self_attn.q_proj.lora_A.default.weight', 'base_model.model.model.layers.0.self_attn.q_proj.lora_B.default.weight', 'base_model.model.model.layers.0.self_attn.v_proj.lora_A.default.weight', 'base_model.model.model.layers.0.self_attn.v_proj.lora_B.default.weight', 'base_model.model.model.layers.1.self_attn.q_proj.lora_A.default.weight', 'base_model.model.model.layers.1.self_attn.q_proj.lora_B.default.weight', 'base_model.model.model.layers.1.self_attn.v_proj.lora_A.default.weight', 'base_model.model.model.layers.1.self_attn.v_proj.lora_B.default.weight', 'base_model.model.model.layers.2.self_attn.q_proj.lora_A.default.weight', 'base_model.model.model.layers.2.self_attn.q_proj.lora_B.default.weight', 'base_model.model.model.layers.2.self_attn.v_proj.lora_A.default.weight', 'base_model.model.model.layers.2.self_attn.v_proj.lora_B.default.weight', 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2025-06-16 21:46:26,567 - INFO - 🔧 After enabling PEFT adapters - [multilabel_classify.py:1755:load_base_model_and_tokenizer]
2025-06-16 21:46:26,569 - INFO - 📊 trainable params: 6,815,744 || all params: 7,254,839,296 || trainable%: 0.0939 - [multilabel_classify.py:162:log_print_output]
2025-06-16 21:46:26,570 - INFO - ✅ Model and tokenizer successfully loaded! - [multilabel_classify.py:1793:load_base_model_and_tokenizer]
2025-06-16 21:46:26,570 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:103:log_section]
2025-06-16 21:46:26,570 - INFO - +                              ✨ DATA PREPROCESSING                              + - [multilabel_classify.py:104:log_section]
2025-06-16 21:46:26,570 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:107:log_section]
2025-06-16 21:46:26,570 - INFO - 🔄 Loading and preprocessing training data... - [multilabel_classify.py:4041:main]
2025-06-16 21:46:26,747 - INFO - Total number of labels: 7942 - [multilabel_classify.py:1196:preprocess_data]
2025-06-16 21:46:26,747 - INFO - Rare labels (freq < 50): 7817 - [multilabel_classify.py:1197:preprocess_data]
2025-06-16 21:46:26,747 - INFO - Not rare labels (freq >= 50): 125 - [multilabel_classify.py:1198:preprocess_data]
2025-06-16 21:46:26,747 - INFO - Label partitions and classes saved to ../tmp/MIMIC4_DEMO/labels_partition.json - [multilabel_classify.py:1199:preprocess_data]
2025-06-16 21:47:24,136 - INFO - The size of training set: 8393 - [multilabel_classify.py:1295:preprocess_data]
2025-06-16 21:47:24,136 - INFO - The size of Evaluation set: 2528 - [multilabel_classify.py:1296:preprocess_data]
2025-06-16 21:47:24,538 - INFO - Number of unique ICD-10 codes: 7942 - [multilabel_classify.py:4047:main]
2025-06-16 21:47:24,541 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:103:log_section]
2025-06-16 21:47:24,541 - INFO - +                             ✨ MODEL INITIALIZATION                             + - [multilabel_classify.py:104:log_section]
2025-06-16 21:47:24,541 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:107:log_section]
2025-06-16 21:47:24,541 - INFO - 🧠 Initializing custom L2R model for outputting per-token relevance scores per ICD-10 codes. - [multilabel_classify.py:4050:main]
2025-06-16 21:47:24,541 - INFO - 🏥📊 Creating MultilabelICDClassifier - Standard multilabel medical classifier! 🔬💫 - [multilabel_classify.py:884:define_model]
2025-06-16 21:47:24,541 - INFO - Will now start to create Multilabel-Classification Model from the base model - [multilabel_classify.py:567:__init__]
2025-06-16 21:47:24,545 - INFO - 📊 trainable params: 6,815,744 || all params: 3,765,178,368 || trainable%: 0.1810 - [utils.py:476:compute_trainable_params]
2025-06-16 21:47:26,261 - INFO - Creating the Multi-Label Classification Model from base model mistralai/Mistral-7B-Instruct-v0.3 completed!!! - [multilabel_classify.py:609:__init__]
2025-06-16 21:47:26,265 - INFO - 📊 trainable params: 171,532,417 || all params: 3,929,895,041 || trainable%: 4.3648 - [utils.py:476:compute_trainable_params]
2025-06-16 21:47:26,265 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:103:log_section]
2025-06-16 21:47:26,265 - INFO - +                             ✨ TRAINING PREPARATION                             + - [multilabel_classify.py:104:log_section]
2025-06-16 21:47:26,265 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:107:log_section]
2025-06-16 21:47:26,265 - INFO - ⚙️ Preparing training components and optimizers... - [multilabel_classify.py:4057:main]
2025-06-16 21:47:26,349 - INFO - 🖥️ Device: NVIDIA GH200 480GB - [multilabel_classify.py:1043:log_training_configuration]
2025-06-16 21:47:26,349 - INFO - 🔋 CUDA Available: True - [multilabel_classify.py:1046:log_training_configuration]
2025-06-16 21:47:26,349 - INFO - 💾 CUDA Device Count: 1 - [multilabel_classify.py:1047:log_training_configuration]
2025-06-16 21:47:26,351 - INFO - 
📋 Training Configuration 📋
+----------+-----------------------------+------------------------------------------------------------------+
| 🌟 Emoji |         🏷️ Parameter         |                             📊 Value                             |
+----------+-----------------------------+------------------------------------------------------------------+
|    📁    |      Output Directory       |           ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b           |
|    🔁    |       Training Epochs       |                                5                                 |
|    🏋️     |      Train Batch Size       |                                8                                 |
|    🔍    |       Eval Batch Size       |                                8                                 |
|    📊    | Gradient Accumulation Steps |                                4                                 |
|    🚀    |        Learning Rate        |                              0.0001                              |
|    🌅    |        Warmup Steps         |                               500                                |
|    💾    |        Save Strategy        |                              epoch                               |
|    💾    |      Save Total Limit       |                                10                                |
|    📊    |     Evaluation Strategy     |                              epoch                               |
|    🎯    |      Best Model Metric      |                         precision_at_15                          |
|    📝    |      Logging Strategy       |                      steps (every 10 steps)                      |
|    🌐    |         Push to Hub         |                               True                               |
|    🌐    |        Hub Model ID         | deb101/mistral-7b-instruct-v0.3-mimic4-adapt-multilabel-classify |
|    🔢    |       Steps per Epoch       |                               262                                |
|    🔢    |    Total Training Steps     |                               1310                               |
|    🔢    |      Evaluation Steps       |                               316                                |
|    📊    |    Training Dataset Size    |                          8393 samples 🏋️                          |
|    📊    |   Evaluation Dataset Size   |                         2528 samples 🔍                          |
+----------+-----------------------------+------------------------------------------------------------------+ - [multilabel_classify.py:1035:log_training_args]
2025-06-16 21:47:26,351 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:103:log_section]
2025-06-16 21:47:26,351 - INFO - +                                ✨ MODEL TRAINING                                + - [multilabel_classify.py:104:log_section]
2025-06-16 21:47:26,351 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:107:log_section]
2025-06-16 21:47:26,352 - INFO - 🏋️ Starting model training process... - [multilabel_classify.py:4079:main]
2025-06-16 21:47:26,396 - INFO - We are registering the tokenizer deb101/mistral-7b-instruct-v0.3-mimic4-adapt in Custom Trainer - [multilabel_classify.py:2364:__init__]
2025-06-16 21:47:26,644 - INFO - 🚀 Starting Training... - [multilabel_classify.py:2018:on_train_begin]
2025-06-16 21:47:51,185 - INFO - 
🚂 Training Metrics (Step 10) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -1.3281 |
+---------------+----------+
| grad_norm     | 0.009771 |
+---------------+----------+
| learning_rate |    2e-06 |
+---------------+----------+
| epoch         | 0.038095 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:48:11,800 - INFO - 
🚂 Training Metrics (Step 20) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -1.2681 |
+---------------+----------+
| grad_norm     | 0.008548 |
+---------------+----------+
| learning_rate |    4e-06 |
+---------------+----------+
| epoch         |  0.07619 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:48:32,431 - INFO - 
🚂 Training Metrics (Step 30) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -1.2844 |
+---------------+----------+
| grad_norm     | 0.010616 |
+---------------+----------+
| learning_rate |    6e-06 |
+---------------+----------+
| epoch         | 0.114286 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:48:53,066 - INFO - 
🚂 Training Metrics (Step 40) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |    -1.33 |
+---------------+----------+
| grad_norm     | 0.020943 |
+---------------+----------+
| learning_rate |    8e-06 |
+---------------+----------+
| epoch         | 0.152381 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:49:13,743 - INFO - 
🚂 Training Metrics (Step 50) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -1.3244 |
+---------------+----------+
| grad_norm     | 0.069555 |
+---------------+----------+
| learning_rate |    1e-05 |
+---------------+----------+
| epoch         | 0.190476 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:49:34,457 - INFO - 
🚂 Training Metrics (Step 60) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -1.3176 |
+---------------+----------+
| grad_norm     |   1.1682 |
+---------------+----------+
| learning_rate |  1.2e-05 |
+---------------+----------+
| epoch         | 0.228571 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:49:55,223 - INFO - 
🚂 Training Metrics (Step 70) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   -2.083 |
+---------------+----------+
| grad_norm     |  1.83967 |
+---------------+----------+
| learning_rate |  1.4e-05 |
+---------------+----------+
| epoch         | 0.266667 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:50:15,943 - INFO - 
🚂 Training Metrics (Step 80) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.3497 |
+---------------+----------+
| grad_norm     | 0.998332 |
+---------------+----------+
| learning_rate |  1.6e-05 |
+---------------+----------+
| epoch         | 0.304762 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:50:36,662 - INFO - 
🚂 Training Metrics (Step 90) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.4039 |
+---------------+----------+
| grad_norm     |   1.1678 |
+---------------+----------+
| learning_rate |  1.8e-05 |
+---------------+----------+
| epoch         | 0.342857 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:50:57,346 - INFO - 
🚂 Training Metrics (Step 100) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.5742 |
+---------------+----------+
| grad_norm     |  2.53676 |
+---------------+----------+
| learning_rate |    2e-05 |
+---------------+----------+
| epoch         | 0.380952 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:51:18,014 - INFO - 
🚂 Training Metrics (Step 110) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   -2.599 |
+---------------+----------+
| grad_norm     |   1.1263 |
+---------------+----------+
| learning_rate |  2.2e-05 |
+---------------+----------+
| epoch         | 0.419048 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:51:38,668 - INFO - 
🚂 Training Metrics (Step 120) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.7175 |
+---------------+----------+
| grad_norm     |   1.1186 |
+---------------+----------+
| learning_rate |  2.4e-05 |
+---------------+----------+
| epoch         | 0.457143 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:51:59,288 - INFO - 
🚂 Training Metrics (Step 130) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.6394 |
+---------------+----------+
| grad_norm     |  1.62559 |
+---------------+----------+
| learning_rate |  2.6e-05 |
+---------------+----------+
| epoch         | 0.495238 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:52:19,922 - INFO - 
🚂 Training Metrics (Step 140) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.7082 |
+---------------+----------+
| grad_norm     | 0.867737 |
+---------------+----------+
| learning_rate |  2.8e-05 |
+---------------+----------+
| epoch         | 0.533333 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:52:40,541 - INFO - 
🚂 Training Metrics (Step 150) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.4458 |
+---------------+----------+
| grad_norm     |  1.29707 |
+---------------+----------+
| learning_rate |    3e-05 |
+---------------+----------+
| epoch         | 0.571429 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:53:01,158 - INFO - 
🚂 Training Metrics (Step 160) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.5431 |
+---------------+----------+
| grad_norm     | 0.911872 |
+---------------+----------+
| learning_rate |  3.2e-05 |
+---------------+----------+
| epoch         | 0.609524 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:53:21,750 - INFO - 
🚂 Training Metrics (Step 170) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.6463 |
+---------------+----------+
| grad_norm     |  1.06875 |
+---------------+----------+
| learning_rate |  3.4e-05 |
+---------------+----------+
| epoch         | 0.647619 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:53:42,366 - INFO - 
🚂 Training Metrics (Step 180) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.5042 |
+---------------+----------+
| grad_norm     |   1.2099 |
+---------------+----------+
| learning_rate |  3.6e-05 |
+---------------+----------+
| epoch         | 0.685714 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:54:02,983 - INFO - 
🚂 Training Metrics (Step 190) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.5143 |
+---------------+----------+
| grad_norm     | 0.903909 |
+---------------+----------+
| learning_rate |  3.8e-05 |
+---------------+----------+
| epoch         |  0.72381 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:54:23,596 - INFO - 
🚂 Training Metrics (Step 200) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.4899 |
+---------------+----------+
| grad_norm     | 0.870928 |
+---------------+----------+
| learning_rate |    4e-05 |
+---------------+----------+
| epoch         | 0.761905 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:54:44,214 - INFO - 
🚂 Training Metrics (Step 210) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.7119 |
+---------------+---------+
| grad_norm     | 1.17446 |
+---------------+---------+
| learning_rate | 4.2e-05 |
+---------------+---------+
| epoch         |     0.8 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:55:04,855 - INFO - 
🚂 Training Metrics (Step 220) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.6202 |
+---------------+----------+
| grad_norm     |  1.01015 |
+---------------+----------+
| learning_rate |  4.4e-05 |
+---------------+----------+
| epoch         | 0.838095 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:55:25,489 - INFO - 
🚂 Training Metrics (Step 230) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.5483 |
+---------------+---------+
| grad_norm     | 1.28282 |
+---------------+---------+
| learning_rate | 4.6e-05 |
+---------------+---------+
| epoch         | 0.87619 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:55:46,146 - INFO - 
🚂 Training Metrics (Step 240) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.5052 |
+---------------+----------+
| grad_norm     |  1.70203 |
+---------------+----------+
| learning_rate |  4.8e-05 |
+---------------+----------+
| epoch         | 0.914286 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:56:06,825 - INFO - 
🚂 Training Metrics (Step 250) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |   -2.519 |
+---------------+----------+
| grad_norm     |   5.4329 |
+---------------+----------+
| learning_rate |    5e-05 |
+---------------+----------+
| epoch         | 0.952381 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:56:27,493 - INFO - 
🚂 Training Metrics (Step 260) 🚂
+---------------+----------+
| Metric        |    Value |
+===============+==========+
| loss          |  -2.5733 |
+---------------+----------+
| grad_norm     |  3.50952 |
+---------------+----------+
| learning_rate |  5.2e-05 |
+---------------+----------+
| epoch         | 0.990476 |
+---------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 21:56:32,140 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2376:evaluate]
2025-06-16 22:15:34,916 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 | 0.008615 |
+-------------------------------+----------+
| eval_f1_macro                 | 0.005978 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.203244 |
+-------------------------------+----------+
| eval_recall_at_5              |   0.0452 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.197538 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.069411 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.182648 |
+-------------------------------+----------+
| eval_recall_at_15             |  0.11848 |
+-------------------------------+----------+
| eval_rare_f1_micro            | 0.005097 |
+-------------------------------+----------+
| eval_rare_f1_macro            | 0.003982 |
+-------------------------------+----------+
| eval_rare_precision           | 0.002557 |
+-------------------------------+----------+
| eval_rare_recall              | 0.789408 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.036946 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.011236 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.032931 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.016217 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.029008 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.027004 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        | 0.135446 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        | 0.130824 |
+-------------------------------+----------+
| eval_not_rare_precision       | 0.072642 |
+-------------------------------+----------+
| eval_not_rare_recall          |        1 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.201187 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.118668 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.196252 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.184178 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.180195 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.311517 |
+-------------------------------+----------+
| eval_loss                     | -2.18078 |
+-------------------------------+----------+ - [multilabel_classify.py:2231:on_evaluate]
2025-06-16 22:15:37,017 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262 - [multilabel_classify.py:2469:_save]
2025-06-16 22:15:37,020 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262 - [multilabel_classify.py:2474:_save]
2025-06-16 22:15:37,021 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262:
+---------+--------------------+------------+
|   Index | Saved File         | Size       |
+=========+====================+============+
|       1 | training_args.bin  | 0.01 MB    |
+---------+--------------------+------------+
|       2 | optimizer.pt       | 1308.77 MB |
+---------+--------------------+------------+
|       3 | model.safetensors  | 4600.97 MB |
+---------+--------------------+------------+
|       4 | scaler.pt          | 0.00 MB    |
+---------+--------------------+------------+
|       5 | config.json        | 0.00 MB    |
+---------+--------------------+------------+
|       6 | scheduler.pt       | 0.00 MB    |
+---------+--------------------+------------+
|       7 | trainer_state.json | 0.01 MB    |
+---------+--------------------+------------+
|       8 | rng_state.pth      | 0.01 MB    |
+---------+--------------------+------------+ - [multilabel_classify.py:2491:_save]
2025-06-16 22:15:58,054 - INFO - 
🚂 Training Metrics (Step 270) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.6944 |
+---------------+---------+
| grad_norm     | 1.66623 |
+---------------+---------+
| learning_rate | 5.4e-05 |
+---------------+---------+
| epoch         | 1.03048 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:16:18,682 - INFO - 
🚂 Training Metrics (Step 280) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.6468 |
+---------------+---------+
| grad_norm     | 5.73856 |
+---------------+---------+
| learning_rate | 5.6e-05 |
+---------------+---------+
| epoch         | 1.06857 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:16:39,356 - INFO - 
🚂 Training Metrics (Step 290) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.7772 |
+---------------+---------+
| grad_norm     | 1.32201 |
+---------------+---------+
| learning_rate | 5.8e-05 |
+---------------+---------+
| epoch         | 1.10667 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:17:00,040 - INFO - 
🚂 Training Metrics (Step 300) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.5104 |
+---------------+---------+
| grad_norm     | 1.28285 |
+---------------+---------+
| learning_rate |   6e-05 |
+---------------+---------+
| epoch         | 1.14476 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:17:20,738 - INFO - 
🚂 Training Metrics (Step 310) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.6475 |
+---------------+---------+
| grad_norm     |  2.5773 |
+---------------+---------+
| learning_rate | 6.2e-05 |
+---------------+---------+
| epoch         | 1.18286 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:17:41,412 - INFO - 
🚂 Training Metrics (Step 320) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.5365 |
+---------------+---------+
| grad_norm     | 3.06585 |
+---------------+---------+
| learning_rate | 6.4e-05 |
+---------------+---------+
| epoch         | 1.22095 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:18:02,294 - INFO - 
🚂 Training Metrics (Step 330) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.6598 |
+---------------+---------+
| grad_norm     | 2.69829 |
+---------------+---------+
| learning_rate | 6.6e-05 |
+---------------+---------+
| epoch         | 1.25905 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:18:22,986 - INFO - 
🚂 Training Metrics (Step 340) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.6969 |
+---------------+---------+
| grad_norm     |  4.4668 |
+---------------+---------+
| learning_rate | 6.8e-05 |
+---------------+---------+
| epoch         | 1.29714 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:18:43,681 - INFO - 
🚂 Training Metrics (Step 350) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.5643 |
+---------------+---------+
| grad_norm     | 2.15029 |
+---------------+---------+
| learning_rate |   7e-05 |
+---------------+---------+
| epoch         | 1.33524 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:19:04,375 - INFO - 
🚂 Training Metrics (Step 360) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.6392 |
+---------------+---------+
| grad_norm     | 4.94501 |
+---------------+---------+
| learning_rate | 7.2e-05 |
+---------------+---------+
| epoch         | 1.37333 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:19:25,066 - INFO - 
🚂 Training Metrics (Step 370) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.6347 |
+---------------+---------+
| grad_norm     | 1.98727 |
+---------------+---------+
| learning_rate | 7.4e-05 |
+---------------+---------+
| epoch         | 1.41143 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:19:45,772 - INFO - 
🚂 Training Metrics (Step 380) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.8543 |
+---------------+---------+
| grad_norm     | 10.4538 |
+---------------+---------+
| learning_rate | 7.6e-05 |
+---------------+---------+
| epoch         | 1.44952 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:20:06,478 - INFO - 
🚂 Training Metrics (Step 390) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.9327 |
+---------------+---------+
| grad_norm     | 2.76192 |
+---------------+---------+
| learning_rate | 7.8e-05 |
+---------------+---------+
| epoch         | 1.48762 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:20:27,183 - INFO - 
🚂 Training Metrics (Step 400) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.8006 |
+---------------+---------+
| grad_norm     | 4.33592 |
+---------------+---------+
| learning_rate |   8e-05 |
+---------------+---------+
| epoch         | 1.52571 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:20:47,886 - INFO - 
🚂 Training Metrics (Step 410) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.7399 |
+---------------+---------+
| grad_norm     | 5.77753 |
+---------------+---------+
| learning_rate | 8.2e-05 |
+---------------+---------+
| epoch         | 1.56381 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:21:08,595 - INFO - 
🚂 Training Metrics (Step 420) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.8422 |
+---------------+---------+
| grad_norm     | 3.92247 |
+---------------+---------+
| learning_rate | 8.4e-05 |
+---------------+---------+
| epoch         |  1.6019 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:21:29,301 - INFO - 
🚂 Training Metrics (Step 430) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.2485 |
+---------------+---------+
| grad_norm     | 4.74773 |
+---------------+---------+
| learning_rate | 8.5e-05 |
+---------------+---------+
| epoch         |    1.64 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:21:49,992 - INFO - 
🚂 Training Metrics (Step 440) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.9139 |
+---------------+---------+
| grad_norm     | 3.45202 |
+---------------+---------+
| learning_rate | 8.7e-05 |
+---------------+---------+
| epoch         | 1.67809 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:22:10,679 - INFO - 
🚂 Training Metrics (Step 450) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.6702 |
+---------------+---------+
| grad_norm     | 3.90906 |
+---------------+---------+
| learning_rate | 8.9e-05 |
+---------------+---------+
| epoch         | 1.71619 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:22:31,373 - INFO - 
🚂 Training Metrics (Step 460) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.8502 |
+---------------+---------+
| grad_norm     | 3.40761 |
+---------------+---------+
| learning_rate | 9.1e-05 |
+---------------+---------+
| epoch         | 1.75429 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:22:52,068 - INFO - 
🚂 Training Metrics (Step 470) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.6422 |
+---------------+---------+
| grad_norm     | 4.53801 |
+---------------+---------+
| learning_rate | 9.3e-05 |
+---------------+---------+
| epoch         | 1.79238 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:23:12,780 - INFO - 
🚂 Training Metrics (Step 480) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.9417 |
+---------------+---------+
| grad_norm     | 2.15287 |
+---------------+---------+
| learning_rate | 9.5e-05 |
+---------------+---------+
| epoch         | 1.83048 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:23:33,479 - INFO - 
🚂 Training Metrics (Step 490) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.9854 |
+---------------+---------+
| grad_norm     | 3.23702 |
+---------------+---------+
| learning_rate | 9.7e-05 |
+---------------+---------+
| epoch         | 1.86857 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:23:54,194 - INFO - 
🚂 Training Metrics (Step 500) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          |  -2.825 |
+---------------+---------+
| grad_norm     | 2.25583 |
+---------------+---------+
| learning_rate | 9.9e-05 |
+---------------+---------+
| epoch         | 1.90667 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:24:14,880 - INFO - 
🚂 Training Metrics (Step 510) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.0095 |
+---------------+---------+
| grad_norm     | 4.32831 |
+---------------+---------+
| learning_rate |  0.0001 |
+---------------+---------+
| epoch         | 1.94476 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:24:35,542 - INFO - 
🚂 Training Metrics (Step 520) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.8745 |
+---------------+---------+
| grad_norm     | 10.9455 |
+---------------+---------+
| learning_rate |  0.0001 |
+---------------+---------+
| epoch         | 1.98286 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:24:44,336 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2376:evaluate]
2025-06-16 22:43:33,519 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 | 0.007046 |
+-------------------------------+----------+
| eval_f1_macro                 | 0.006161 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.115348 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.031091 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.107892 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.045557 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.093328 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.072304 |
+-------------------------------+----------+
| eval_rare_f1_micro            | 0.004353 |
+-------------------------------+----------+
| eval_rare_f1_macro            | 0.004122 |
+-------------------------------+----------+
| eval_rare_precision           | 0.002182 |
+-------------------------------+----------+
| eval_rare_recall              | 0.868453 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.039082 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.015531 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.033327 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.020969 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.028138 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.032345 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        | 0.139875 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        | 0.133686 |
+-------------------------------+----------+
| eval_not_rare_precision       |  0.07536 |
+-------------------------------+----------+
| eval_not_rare_recall          | 0.971989 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.173497 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.110951 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  |  0.15442 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.155294 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.140005 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.255021 |
+-------------------------------+----------+
| eval_loss                     | -2.29713 |
+-------------------------------+----------+ - [multilabel_classify.py:2231:on_evaluate]
2025-06-16 22:43:36,565 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-524 - [multilabel_classify.py:2469:_save]
2025-06-16 22:43:36,567 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-524 - [multilabel_classify.py:2474:_save]
2025-06-16 22:43:36,568 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-524:
+---------+--------------------+------------+
|   Index | Saved File         | Size       |
+=========+====================+============+
|       1 | training_args.bin  | 0.01 MB    |
+---------+--------------------+------------+
|       2 | optimizer.pt       | 1308.77 MB |
+---------+--------------------+------------+
|       3 | model.safetensors  | 4600.97 MB |
+---------+--------------------+------------+
|       4 | scaler.pt          | 0.00 MB    |
+---------+--------------------+------------+
|       5 | config.json        | 0.00 MB    |
+---------+--------------------+------------+
|       6 | scheduler.pt       | 0.00 MB    |
+---------+--------------------+------------+
|       7 | trainer_state.json | 0.01 MB    |
+---------+--------------------+------------+
|       8 | rng_state.pth      | 0.01 MB    |
+---------+--------------------+------------+ - [multilabel_classify.py:2491:_save]
2025-06-16 22:43:53,283 - INFO - 
🚂 Training Metrics (Step 530) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.1318 |
+---------------+---------+
| grad_norm     | 6.27872 |
+---------------+---------+
| learning_rate |  0.0001 |
+---------------+---------+
| epoch         | 2.02286 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:44:13,913 - INFO - 
🚂 Training Metrics (Step 540) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.9013 |
+---------------+---------+
| grad_norm     | 5.13338 |
+---------------+---------+
| learning_rate | 9.9e-05 |
+---------------+---------+
| epoch         | 2.06095 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:44:34,550 - INFO - 
🚂 Training Metrics (Step 550) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.9378 |
+---------------+---------+
| grad_norm     | 2.31937 |
+---------------+---------+
| learning_rate | 9.9e-05 |
+---------------+---------+
| epoch         | 2.09905 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:44:55,220 - INFO - 
🚂 Training Metrics (Step 560) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.1557 |
+---------------+---------+
| grad_norm     | 2.88556 |
+---------------+---------+
| learning_rate | 9.9e-05 |
+---------------+---------+
| epoch         | 2.13714 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:45:15,871 - INFO - 
🚂 Training Metrics (Step 570) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.1589 |
+---------------+---------+
| grad_norm     | 16.5141 |
+---------------+---------+
| learning_rate | 9.8e-05 |
+---------------+---------+
| epoch         | 2.17524 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:45:36,535 - INFO - 
🚂 Training Metrics (Step 580) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.0709 |
+---------------+---------+
| grad_norm     | 20.6117 |
+---------------+---------+
| learning_rate | 9.8e-05 |
+---------------+---------+
| epoch         | 2.21333 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:45:57,196 - INFO - 
🚂 Training Metrics (Step 590) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.0031 |
+---------------+---------+
| grad_norm     | 3.41571 |
+---------------+---------+
| learning_rate | 9.7e-05 |
+---------------+---------+
| epoch         | 2.25143 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:46:17,859 - INFO - 
🚂 Training Metrics (Step 600) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.0642 |
+---------------+---------+
| grad_norm     | 3.67429 |
+---------------+---------+
| learning_rate | 9.7e-05 |
+---------------+---------+
| epoch         | 2.28952 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:46:38,540 - INFO - 
🚂 Training Metrics (Step 610) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.8556 |
+---------------+---------+
| grad_norm     | 3.29057 |
+---------------+---------+
| learning_rate | 9.6e-05 |
+---------------+---------+
| epoch         | 2.32762 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:46:59,219 - INFO - 
🚂 Training Metrics (Step 620) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.0252 |
+---------------+---------+
| grad_norm     | 4.15559 |
+---------------+---------+
| learning_rate | 9.5e-05 |
+---------------+---------+
| epoch         | 2.36571 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:47:19,873 - INFO - 
🚂 Training Metrics (Step 630) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          |  -3.043 |
+---------------+---------+
| grad_norm     |  7.9306 |
+---------------+---------+
| learning_rate | 9.4e-05 |
+---------------+---------+
| epoch         | 2.40381 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:47:40,534 - INFO - 
🚂 Training Metrics (Step 640) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.9925 |
+---------------+---------+
| grad_norm     | 5.63441 |
+---------------+---------+
| learning_rate | 9.3e-05 |
+---------------+---------+
| epoch         | 2.44191 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:48:01,208 - INFO - 
🚂 Training Metrics (Step 650) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.1192 |
+---------------+---------+
| grad_norm     | 6.16559 |
+---------------+---------+
| learning_rate | 9.2e-05 |
+---------------+---------+
| epoch         |    2.48 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:48:21,875 - INFO - 
🚂 Training Metrics (Step 660) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.7578 |
+---------------+---------+
| grad_norm     | 7.27245 |
+---------------+---------+
| learning_rate | 9.1e-05 |
+---------------+---------+
| epoch         |  2.5181 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:48:42,549 - INFO - 
🚂 Training Metrics (Step 670) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.0685 |
+---------------+---------+
| grad_norm     | 4.86883 |
+---------------+---------+
| learning_rate |   9e-05 |
+---------------+---------+
| epoch         | 2.55619 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:49:03,221 - INFO - 
🚂 Training Metrics (Step 680) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.3125 |
+---------------+---------+
| grad_norm     | 4.60443 |
+---------------+---------+
| learning_rate | 8.9e-05 |
+---------------+---------+
| epoch         | 2.59429 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:49:23,892 - INFO - 
🚂 Training Metrics (Step 690) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.9993 |
+---------------+---------+
| grad_norm     |  5.1602 |
+---------------+---------+
| learning_rate | 8.8e-05 |
+---------------+---------+
| epoch         | 2.63238 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:49:44,576 - INFO - 
🚂 Training Metrics (Step 700) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -2.9074 |
+---------------+---------+
| grad_norm     | 3.71175 |
+---------------+---------+
| learning_rate | 8.6e-05 |
+---------------+---------+
| epoch         | 2.67048 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:50:05,236 - INFO - 
🚂 Training Metrics (Step 710) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          |  -3.248 |
+---------------+---------+
| grad_norm     | 5.70862 |
+---------------+---------+
| learning_rate | 8.5e-05 |
+---------------+---------+
| epoch         | 2.70857 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:50:25,900 - INFO - 
🚂 Training Metrics (Step 720) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.1012 |
+---------------+---------+
| grad_norm     | 3.30394 |
+---------------+---------+
| learning_rate | 8.3e-05 |
+---------------+---------+
| epoch         | 2.74667 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:50:46,563 - INFO - 
🚂 Training Metrics (Step 730) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.2892 |
+---------------+---------+
| grad_norm     | 4.57689 |
+---------------+---------+
| learning_rate | 8.2e-05 |
+---------------+---------+
| epoch         | 2.78476 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:51:07,213 - INFO - 
🚂 Training Metrics (Step 740) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.0007 |
+---------------+---------+
| grad_norm     | 4.63606 |
+---------------+---------+
| learning_rate | 8.1e-05 |
+---------------+---------+
| epoch         | 2.82286 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:51:27,880 - INFO - 
🚂 Training Metrics (Step 750) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.0416 |
+---------------+---------+
| grad_norm     | 6.01303 |
+---------------+---------+
| learning_rate | 7.9e-05 |
+---------------+---------+
| epoch         | 2.86095 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:51:48,533 - INFO - 
🚂 Training Metrics (Step 760) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.2314 |
+---------------+---------+
| grad_norm     | 3.14631 |
+---------------+---------+
| learning_rate | 7.7e-05 |
+---------------+---------+
| epoch         | 2.89905 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:52:09,199 - INFO - 
🚂 Training Metrics (Step 770) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.1514 |
+---------------+---------+
| grad_norm     | 3.72293 |
+---------------+---------+
| learning_rate | 7.6e-05 |
+---------------+---------+
| epoch         | 2.93714 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:52:29,843 - INFO - 
🚂 Training Metrics (Step 780) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.0665 |
+---------------+---------+
| grad_norm     | 6.07238 |
+---------------+---------+
| learning_rate | 7.4e-05 |
+---------------+---------+
| epoch         | 2.97524 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 22:52:42,757 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2376:evaluate]
2025-06-16 23:11:26,833 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 | 0.006362 |
+-------------------------------+----------+
| eval_f1_macro                 | 0.006038 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.052532 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.014819 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.045045 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.020262 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.039214 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.030945 |
+-------------------------------+----------+
| eval_rare_f1_micro            | 0.004069 |
+-------------------------------+----------+
| eval_rare_f1_macro            | 0.004018 |
+-------------------------------+----------+
| eval_rare_precision           | 0.002039 |
+-------------------------------+----------+
| eval_rare_recall              | 0.968818 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.015032 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.006142 |
+-------------------------------+----------+
| eval_rare_precision_at_8      |   0.0134 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.008599 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.010707 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.012881 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        | 0.137554 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        | 0.132349 |
+-------------------------------+----------+
| eval_not_rare_precision       | 0.073945 |
+-------------------------------+----------+
| eval_not_rare_recall          | 0.983969 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.149842 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     |  0.09499 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.123616 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.124506 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.114662 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.204124 |
+-------------------------------+----------+
| eval_loss                     | -2.32242 |
+-------------------------------+----------+ - [multilabel_classify.py:2231:on_evaluate]
2025-06-16 23:11:30,098 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-786 - [multilabel_classify.py:2469:_save]
2025-06-16 23:11:30,100 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-786 - [multilabel_classify.py:2474:_save]
2025-06-16 23:11:30,101 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-786:
+---------+--------------------+------------+
|   Index | Saved File         | Size       |
+=========+====================+============+
|       1 | training_args.bin  | 0.01 MB    |
+---------+--------------------+------------+
|       2 | optimizer.pt       | 1308.77 MB |
+---------+--------------------+------------+
|       3 | model.safetensors  | 4600.97 MB |
+---------+--------------------+------------+
|       4 | scaler.pt          | 0.00 MB    |
+---------+--------------------+------------+
|       5 | config.json        | 0.00 MB    |
+---------+--------------------+------------+
|       6 | scheduler.pt       | 0.00 MB    |
+---------+--------------------+------------+
|       7 | trainer_state.json | 0.02 MB    |
+---------+--------------------+------------+
|       8 | rng_state.pth      | 0.01 MB    |
+---------+--------------------+------------+ - [multilabel_classify.py:2491:_save]
2025-06-16 23:11:42,691 - INFO - 
🚂 Training Metrics (Step 790) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.2797 |
+---------------+---------+
| grad_norm     | 3.42903 |
+---------------+---------+
| learning_rate | 7.2e-05 |
+---------------+---------+
| epoch         | 3.01524 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:12:03,473 - INFO - 
🚂 Training Metrics (Step 800) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.1285 |
+---------------+---------+
| grad_norm     | 3.36507 |
+---------------+---------+
| learning_rate | 7.1e-05 |
+---------------+---------+
| epoch         | 3.05333 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:12:24,097 - INFO - 
🚂 Training Metrics (Step 810) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.3476 |
+---------------+---------+
| grad_norm     | 12.2284 |
+---------------+---------+
| learning_rate | 6.9e-05 |
+---------------+---------+
| epoch         | 3.09143 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:12:44,741 - INFO - 
🚂 Training Metrics (Step 820) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.2807 |
+---------------+---------+
| grad_norm     | 4.27001 |
+---------------+---------+
| learning_rate | 6.7e-05 |
+---------------+---------+
| epoch         | 3.12952 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:13:05,412 - INFO - 
🚂 Training Metrics (Step 830) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.2203 |
+---------------+---------+
| grad_norm     | 7.73442 |
+---------------+---------+
| learning_rate | 6.5e-05 |
+---------------+---------+
| epoch         | 3.16762 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:13:26,068 - INFO - 
🚂 Training Metrics (Step 840) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.4928 |
+---------------+---------+
| grad_norm     | 5.21309 |
+---------------+---------+
| learning_rate | 6.3e-05 |
+---------------+---------+
| epoch         | 3.20571 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:13:46,711 - INFO - 
🚂 Training Metrics (Step 850) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.3565 |
+---------------+---------+
| grad_norm     | 9.77577 |
+---------------+---------+
| learning_rate | 6.2e-05 |
+---------------+---------+
| epoch         | 3.24381 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:14:07,376 - INFO - 
🚂 Training Metrics (Step 860) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.3151 |
+---------------+---------+
| grad_norm     | 5.86498 |
+---------------+---------+
| learning_rate |   6e-05 |
+---------------+---------+
| epoch         | 3.28191 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:14:28,035 - INFO - 
🚂 Training Metrics (Step 870) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.3922 |
+---------------+---------+
| grad_norm     | 6.25596 |
+---------------+---------+
| learning_rate | 5.8e-05 |
+---------------+---------+
| epoch         |    3.32 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:14:48,708 - INFO - 
🚂 Training Metrics (Step 880) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.4076 |
+---------------+---------+
| grad_norm     | 6.42964 |
+---------------+---------+
| learning_rate | 5.6e-05 |
+---------------+---------+
| epoch         |  3.3581 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:15:09,378 - INFO - 
🚂 Training Metrics (Step 890) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6344 |
+---------------+---------+
| grad_norm     | 6.22911 |
+---------------+---------+
| learning_rate | 5.4e-05 |
+---------------+---------+
| epoch         | 3.39619 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:15:30,073 - INFO - 
🚂 Training Metrics (Step 900) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.4873 |
+---------------+---------+
| grad_norm     | 3.87399 |
+---------------+---------+
| learning_rate | 5.2e-05 |
+---------------+---------+
| epoch         | 3.43429 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:15:50,754 - INFO - 
🚂 Training Metrics (Step 910) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          |  -3.309 |
+---------------+---------+
| grad_norm     |  4.9241 |
+---------------+---------+
| learning_rate |   5e-05 |
+---------------+---------+
| epoch         | 3.47238 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:16:11,415 - INFO - 
🚂 Training Metrics (Step 920) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.3892 |
+---------------+---------+
| grad_norm     | 6.75714 |
+---------------+---------+
| learning_rate | 4.8e-05 |
+---------------+---------+
| epoch         | 3.51048 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:16:32,086 - INFO - 
🚂 Training Metrics (Step 930) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6367 |
+---------------+---------+
| grad_norm     | 6.01969 |
+---------------+---------+
| learning_rate | 4.6e-05 |
+---------------+---------+
| epoch         | 3.54857 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:16:52,762 - INFO - 
🚂 Training Metrics (Step 940) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6291 |
+---------------+---------+
| grad_norm     | 10.1146 |
+---------------+---------+
| learning_rate | 4.4e-05 |
+---------------+---------+
| epoch         | 3.58667 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:17:13,420 - INFO - 
🚂 Training Metrics (Step 950) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.5316 |
+---------------+---------+
| grad_norm     | 7.94565 |
+---------------+---------+
| learning_rate | 4.2e-05 |
+---------------+---------+
| epoch         | 3.62476 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:17:34,093 - INFO - 
🚂 Training Metrics (Step 960) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.3274 |
+---------------+---------+
| grad_norm     | 4.13957 |
+---------------+---------+
| learning_rate | 4.1e-05 |
+---------------+---------+
| epoch         | 3.66286 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:17:54,762 - INFO - 
🚂 Training Metrics (Step 970) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.3817 |
+---------------+---------+
| grad_norm     | 7.41069 |
+---------------+---------+
| learning_rate | 3.9e-05 |
+---------------+---------+
| epoch         | 3.70095 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:18:15,439 - INFO - 
🚂 Training Metrics (Step 980) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.7929 |
+---------------+---------+
| grad_norm     | 6.45495 |
+---------------+---------+
| learning_rate | 3.7e-05 |
+---------------+---------+
| epoch         | 3.73905 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:18:36,120 - INFO - 
🚂 Training Metrics (Step 990) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6203 |
+---------------+---------+
| grad_norm     | 10.8201 |
+---------------+---------+
| learning_rate | 3.5e-05 |
+---------------+---------+
| epoch         | 3.77714 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:18:56,774 - INFO - 
🚂 Training Metrics (Step 1000) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.5213 |
+---------------+---------+
| grad_norm     | 3.94306 |
+---------------+---------+
| learning_rate | 3.3e-05 |
+---------------+---------+
| epoch         | 3.81524 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:19:17,405 - INFO - 
🚂 Training Metrics (Step 1010) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6218 |
+---------------+---------+
| grad_norm     | 7.93971 |
+---------------+---------+
| learning_rate | 3.2e-05 |
+---------------+---------+
| epoch         | 3.85333 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:19:38,038 - INFO - 
🚂 Training Metrics (Step 1020) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.5477 |
+---------------+---------+
| grad_norm     | 13.3498 |
+---------------+---------+
| learning_rate |   3e-05 |
+---------------+---------+
| epoch         | 3.89143 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:19:58,698 - INFO - 
🚂 Training Metrics (Step 1030) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6429 |
+---------------+---------+
| grad_norm     | 10.1506 |
+---------------+---------+
| learning_rate | 2.8e-05 |
+---------------+---------+
| epoch         | 3.92952 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:20:19,330 - INFO - 
🚂 Training Metrics (Step 1040) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.5627 |
+---------------+---------+
| grad_norm     | 4.49416 |
+---------------+---------+
| learning_rate | 2.6e-05 |
+---------------+---------+
| epoch         | 3.96762 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:20:36,375 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2376:evaluate]
2025-06-16 23:39:17,428 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 | 0.006241 |
+-------------------------------+----------+
| eval_f1_macro                 |  0.00597 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.018196 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.005862 |
+-------------------------------+----------+
| eval_precision_at_8           |  0.01518 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.007524 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.016297 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.013505 |
+-------------------------------+----------+
| eval_rare_f1_micro            | 0.004005 |
+-------------------------------+----------+
| eval_rare_f1_macro            | 0.003967 |
+-------------------------------+----------+
| eval_rare_precision           | 0.002007 |
+-------------------------------+----------+
| eval_rare_recall              | 0.992014 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.006883 |
+-------------------------------+----------+
| eval_rare_recall_at_5         |  0.00311 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.005241 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.003914 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.004404 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.006155 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        | 0.136059 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        | 0.131255 |
+-------------------------------+----------+
| eval_not_rare_precision       | 0.073009 |
+-------------------------------+----------+
| eval_not_rare_recall          | 0.997299 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.139399 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.085527 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.109276 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.105525 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.102189 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.175595 |
+-------------------------------+----------+
| eval_loss                     | -2.32388 |
+-------------------------------+----------+ - [multilabel_classify.py:2231:on_evaluate]
2025-06-16 23:39:21,151 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-1048 - [multilabel_classify.py:2469:_save]
2025-06-16 23:39:21,153 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-1048 - [multilabel_classify.py:2474:_save]
2025-06-16 23:39:21,154 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-1048:
+---------+--------------------+------------+
|   Index | Saved File         | Size       |
+=========+====================+============+
|       1 | training_args.bin  | 0.01 MB    |
+---------+--------------------+------------+
|       2 | optimizer.pt       | 1308.77 MB |
+---------+--------------------+------------+
|       3 | model.safetensors  | 4600.97 MB |
+---------+--------------------+------------+
|       4 | scaler.pt          | 0.00 MB    |
+---------+--------------------+------------+
|       5 | config.json        | 0.00 MB    |
+---------+--------------------+------------+
|       6 | scheduler.pt       | 0.00 MB    |
+---------+--------------------+------------+
|       7 | trainer_state.json | 0.02 MB    |
+---------+--------------------+------------+
|       8 | rng_state.pth      | 0.01 MB    |
+---------+--------------------+------------+ - [multilabel_classify.py:2491:_save]
2025-06-16 23:39:29,580 - INFO - 
🚂 Training Metrics (Step 1050) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.4879 |
+---------------+---------+
| grad_norm     | 6.39619 |
+---------------+---------+
| learning_rate | 2.5e-05 |
+---------------+---------+
| epoch         | 4.00762 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:39:50,155 - INFO - 
🚂 Training Metrics (Step 1060) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.9362 |
+---------------+---------+
| grad_norm     | 10.1241 |
+---------------+---------+
| learning_rate | 2.3e-05 |
+---------------+---------+
| epoch         | 4.04571 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:40:10,763 - INFO - 
🚂 Training Metrics (Step 1070) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6064 |
+---------------+---------+
| grad_norm     | 9.74406 |
+---------------+---------+
| learning_rate | 2.2e-05 |
+---------------+---------+
| epoch         | 4.08381 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:40:31,375 - INFO - 
🚂 Training Metrics (Step 1080) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6683 |
+---------------+---------+
| grad_norm     | 3.95963 |
+---------------+---------+
| learning_rate |   2e-05 |
+---------------+---------+
| epoch         |  4.1219 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:40:52,017 - INFO - 
🚂 Training Metrics (Step 1090) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.8221 |
+---------------+---------+
| grad_norm     | 7.74502 |
+---------------+---------+
| learning_rate | 1.9e-05 |
+---------------+---------+
| epoch         |    4.16 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:41:12,654 - INFO - 
🚂 Training Metrics (Step 1100) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6546 |
+---------------+---------+
| grad_norm     | 4.37811 |
+---------------+---------+
| learning_rate | 1.7e-05 |
+---------------+---------+
| epoch         |  4.1981 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:41:33,298 - INFO - 
🚂 Training Metrics (Step 1110) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.8077 |
+---------------+---------+
| grad_norm     | 6.02418 |
+---------------+---------+
| learning_rate | 1.6e-05 |
+---------------+---------+
| epoch         | 4.23619 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:41:54,124 - INFO - 
🚂 Training Metrics (Step 1120) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.9832 |
+---------------+---------+
| grad_norm     |  11.386 |
+---------------+---------+
| learning_rate | 1.4e-05 |
+---------------+---------+
| epoch         | 4.27429 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:42:14,776 - INFO - 
🚂 Training Metrics (Step 1130) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.8361 |
+---------------+---------+
| grad_norm     | 6.99711 |
+---------------+---------+
| learning_rate | 1.3e-05 |
+---------------+---------+
| epoch         | 4.31238 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:42:35,401 - INFO - 
🚂 Training Metrics (Step 1140) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.9406 |
+---------------+---------+
| grad_norm     | 11.1791 |
+---------------+---------+
| learning_rate | 1.2e-05 |
+---------------+---------+
| epoch         | 4.35048 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:42:56,059 - INFO - 
🚂 Training Metrics (Step 1150) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.8839 |
+---------------+---------+
| grad_norm     | 5.22412 |
+---------------+---------+
| learning_rate | 1.1e-05 |
+---------------+---------+
| epoch         | 4.38857 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:43:16,701 - INFO - 
🚂 Training Metrics (Step 1160) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.9782 |
+---------------+---------+
| grad_norm     | 5.76971 |
+---------------+---------+
| learning_rate |   1e-05 |
+---------------+---------+
| epoch         | 4.42667 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:43:37,361 - INFO - 
🚂 Training Metrics (Step 1170) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.7407 |
+---------------+---------+
| grad_norm     | 13.5051 |
+---------------+---------+
| learning_rate |   9e-06 |
+---------------+---------+
| epoch         | 4.46476 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:43:58,001 - INFO - 
🚂 Training Metrics (Step 1180) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6642 |
+---------------+---------+
| grad_norm     | 5.81691 |
+---------------+---------+
| learning_rate |   8e-06 |
+---------------+---------+
| epoch         | 4.50286 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:44:18,651 - INFO - 
🚂 Training Metrics (Step 1190) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.8646 |
+---------------+---------+
| grad_norm     | 5.51144 |
+---------------+---------+
| learning_rate |   7e-06 |
+---------------+---------+
| epoch         | 4.54095 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:44:39,299 - INFO - 
🚂 Training Metrics (Step 1200) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -4.1574 |
+---------------+---------+
| grad_norm     | 7.77753 |
+---------------+---------+
| learning_rate |   6e-06 |
+---------------+---------+
| epoch         | 4.57905 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:44:59,944 - INFO - 
🚂 Training Metrics (Step 1210) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.8684 |
+---------------+---------+
| grad_norm     | 9.38395 |
+---------------+---------+
| learning_rate |   5e-06 |
+---------------+---------+
| epoch         | 4.61714 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:45:20,611 - INFO - 
🚂 Training Metrics (Step 1220) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6834 |
+---------------+---------+
| grad_norm     | 7.10574 |
+---------------+---------+
| learning_rate |   4e-06 |
+---------------+---------+
| epoch         | 4.65524 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:45:41,282 - INFO - 
🚂 Training Metrics (Step 1230) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.9973 |
+---------------+---------+
| grad_norm     | 3.95851 |
+---------------+---------+
| learning_rate |   4e-06 |
+---------------+---------+
| epoch         | 4.69333 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:46:01,971 - INFO - 
🚂 Training Metrics (Step 1240) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          |  -3.747 |
+---------------+---------+
| grad_norm     | 5.98381 |
+---------------+---------+
| learning_rate |   3e-06 |
+---------------+---------+
| epoch         | 4.73143 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:46:22,631 - INFO - 
🚂 Training Metrics (Step 1250) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.8056 |
+---------------+---------+
| grad_norm     | 6.93498 |
+---------------+---------+
| learning_rate |   3e-06 |
+---------------+---------+
| epoch         | 4.76952 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:46:43,296 - INFO - 
🚂 Training Metrics (Step 1260) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.7874 |
+---------------+---------+
| grad_norm     | 3.92144 |
+---------------+---------+
| learning_rate |   2e-06 |
+---------------+---------+
| epoch         | 4.80762 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:47:03,970 - INFO - 
🚂 Training Metrics (Step 1270) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          |  -3.895 |
+---------------+---------+
| grad_norm     | 7.15651 |
+---------------+---------+
| learning_rate |   2e-06 |
+---------------+---------+
| epoch         | 4.84571 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:47:24,621 - INFO - 
🚂 Training Metrics (Step 1280) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6054 |
+---------------+---------+
| grad_norm     | 14.3564 |
+---------------+---------+
| learning_rate |   1e-06 |
+---------------+---------+
| epoch         | 4.88381 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:47:45,288 - INFO - 
🚂 Training Metrics (Step 1290) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.6814 |
+---------------+---------+
| grad_norm     | 8.71897 |
+---------------+---------+
| learning_rate |   1e-06 |
+---------------+---------+
| epoch         |  4.9219 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:48:05,952 - INFO - 
🚂 Training Metrics (Step 1300) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -3.7682 |
+---------------+---------+
| grad_norm     | 8.88537 |
+---------------+---------+
| learning_rate |   1e-06 |
+---------------+---------+
| epoch         |    4.96 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:48:26,621 - INFO - 
🚂 Training Metrics (Step 1310) 🚂
+---------------+---------+
| Metric        |   Value |
+===============+=========+
| loss          | -4.0526 |
+---------------+---------+
| grad_norm     | 8.41898 |
+---------------+---------+
| learning_rate |   1e-06 |
+---------------+---------+
| epoch         |  4.9981 |
+---------------+---------+ - [multilabel_classify.py:2212:on_log]
2025-06-16 23:48:27,962 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-1310 - [multilabel_classify.py:2469:_save]
2025-06-16 23:48:27,964 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-1310 - [multilabel_classify.py:2474:_save]
2025-06-16 23:48:27,965 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-1310:
+---------+-------------------+------------+
|   Index | Saved File        | Size       |
+=========+===================+============+
|       1 | training_args.bin | 0.01 MB    |
+---------+-------------------+------------+
|       2 | model.safetensors | 4600.97 MB |
+---------+-------------------+------------+
|       3 | config.json       | 0.00 MB    |
+---------+-------------------+------------+ - [multilabel_classify.py:2491:_save]
2025-06-16 23:48:28,605 - INFO - Removing 'token_type_ids' from eval_dataset as they are not needed. - [multilabel_classify.py:2376:evaluate]
2025-06-17 00:07:03,821 - INFO - 
🔍 Evaluation Metrics 🔍
+-------------------------------+----------+
| Metric                        |    Value |
+===============================+==========+
| eval_f1_micro                 | 0.006203 |
+-------------------------------+----------+
| eval_f1_macro                 | 0.005948 |
+-------------------------------+----------+
| eval_precision_at_5           | 0.013054 |
+-------------------------------+----------+
| eval_recall_at_5              | 0.004007 |
+-------------------------------+----------+
| eval_precision_at_8           | 0.010779 |
+-------------------------------+----------+
| eval_recall_at_8              | 0.005572 |
+-------------------------------+----------+
| eval_precision_at_15          | 0.012447 |
+-------------------------------+----------+
| eval_recall_at_15             | 0.010075 |
+-------------------------------+----------+
| eval_rare_f1_micro            | 0.003987 |
+-------------------------------+----------+
| eval_rare_f1_macro            | 0.003951 |
+-------------------------------+----------+
| eval_rare_precision           | 0.001998 |
+-------------------------------+----------+
| eval_rare_recall              | 0.999163 |
+-------------------------------+----------+
| eval_rare_precision_at_5      | 0.005538 |
+-------------------------------+----------+
| eval_rare_recall_at_5         | 0.002468 |
+-------------------------------+----------+
| eval_rare_precision_at_8      | 0.004104 |
+-------------------------------+----------+
| eval_rare_recall_at_8         | 0.002894 |
+-------------------------------+----------+
| eval_rare_precision_at_15     | 0.003191 |
+-------------------------------+----------+
| eval_rare_recall_at_15        | 0.004396 |
+-------------------------------+----------+
| eval_not_rare_f1_micro        | 0.135441 |
+-------------------------------+----------+
| eval_not_rare_f1_macro        | 0.130814 |
+-------------------------------+----------+
| eval_not_rare_precision       | 0.072641 |
+-------------------------------+----------+
| eval_not_rare_recall          | 0.999782 |
+-------------------------------+----------+
| eval_not_rare_precision_at_5  | 0.139082 |
+-------------------------------+----------+
| eval_not_rare_recall_at_5     | 0.084165 |
+-------------------------------+----------+
| eval_not_rare_precision_at_8  | 0.106557 |
+-------------------------------+----------+
| eval_not_rare_recall_at_8     | 0.100509 |
+-------------------------------+----------+
| eval_not_rare_precision_at_15 | 0.098866 |
+-------------------------------+----------+
| eval_not_rare_recall_at_15    | 0.165002 |
+-------------------------------+----------+
| eval_loss                     |  -2.3104 |
+-------------------------------+----------+ - [multilabel_classify.py:2231:on_evaluate]
2025-06-17 00:07:07,535 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-1310 - [multilabel_classify.py:2469:_save]
2025-06-17 00:07:07,537 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-1310 - [multilabel_classify.py:2474:_save]
2025-06-17 00:07:07,538 - INFO - 📋 Saved files in ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-1310:
+---------+--------------------+------------+
|   Index | Saved File         | Size       |
+=========+====================+============+
|       1 | training_args.bin  | 0.01 MB    |
+---------+--------------------+------------+
|       2 | optimizer.pt       | 1308.77 MB |
+---------+--------------------+------------+
|       3 | model.safetensors  | 4600.97 MB |
+---------+--------------------+------------+
|       4 | scaler.pt          | 0.00 MB    |
+---------+--------------------+------------+
|       5 | config.json        | 0.00 MB    |
+---------+--------------------+------------+
|       6 | scheduler.pt       | 0.00 MB    |
+---------+--------------------+------------+
|       7 | trainer_state.json | 0.03 MB    |
+---------+--------------------+------------+
|       8 | rng_state.pth      | 0.01 MB    |
+---------+--------------------+------------+ - [multilabel_classify.py:2491:_save]
2025-06-17 00:07:08,790 - INFO - 📂 Loading best model from ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262 - [multilabel_classify.py:2543:_load_best_model]
2025-06-17 00:07:08,791 - INFO - 🖥️ Model is on device: cuda:0 - [multilabel_classify.py:2553:_load_best_model]
2025-06-17 00:07:08,853 - 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:2577:_load_best_model]
2025-06-17 00:07:09,846 - INFO - ✅ Loaded best model weights from ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/checkpoint-262/model.safetensors - [multilabel_classify.py:2594:_load_best_model]
2025-06-17 00:07:09,885 - INFO - ✔️ Weight for boost_mul matches between saved and loaded state_dict - [multilabel_classify.py:2606:_load_best_model]
2025-06-17 00:07:09,918 - INFO - ✔️ Weight for boost_add matches between saved and loaded state_dict - [multilabel_classify.py:2606:_load_best_model]
2025-06-17 00:07:09,935 - INFO - 
🚂 Training Metrics (Step 1310) 🚂
+--------------------------+----------+
| Metric                   |    Value |
+==========================+==========+
| train_runtime            |  8383.29 |
+--------------------------+----------+
| train_samples_per_second |    5.006 |
+--------------------------+----------+
| train_steps_per_second   |    0.156 |
+--------------------------+----------+
| total_flos               |        0 |
+--------------------------+----------+
| train_loss               | -3.07712 |
+--------------------------+----------+
| epoch                    |   4.9981 |
+--------------------------+----------+ - [multilabel_classify.py:2212:on_log]
2025-06-17 00:07:09,935 - INFO - ✨ Training Completed! ✨ - [multilabel_classify.py:2085:on_train_end]
2025-06-17 00:07:10,008 - INFO - 📊 Training loss plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/train_loss_plot.png' - [multilabel_classify.py:2281:on_train_end]
2025-06-17 00:07:10,069 - INFO - 📊 Evaluation loss plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/eval_loss_plot.png' - [multilabel_classify.py:2295:on_train_end]
2025-06-17 00:07:10,128 - INFO - 📊 Evaluation metric plot saved as '../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b/eval_precision_at_15_plot.png' - [multilabel_classify.py:2316:on_train_end]
2025-06-17 00:07:10,128 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:103:log_section]
2025-06-17 00:07:10,128 - INFO - +                                 ✨ MODEL SAVING                                 + - [multilabel_classify.py:104:log_section]
2025-06-17 00:07:10,128 - INFO - ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - [multilabel_classify.py:107:log_section]
2025-06-17 00:07:10,128 - INFO - 💾 Saving trained model and pushing to Hugging Face Hub... - [multilabel_classify.py:4093:main]
2025-06-17 00:07:10,128 - INFO - 📁 Creating/using output directory: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3069:save_and_push]
2025-06-17 00:07:14,321 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2469:_save]
2025-06-17 00:07:14,323 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2474:_save]
2025-06-17 00:07:14,324 - 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                          | 4600.97 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                        | 0.04 MB    |
+---------+--------------------------------------------+------------+
|      10 | eval_precision_at_15_plot.png              | 0.04 MB    |
+---------+--------------------------------------------+------------+
|      11 | README.md                                  | 0.01 MB    |
+---------+--------------------------------------------+------------+
|      12 | classification_log_2025-06-16_18-00-57.log | 0.09 MB    |
+---------+--------------------------------------------+------------+ - [multilabel_classify.py:2491:_save]
2025-06-17 00:07:18,278 - INFO - 💾 Model weights saved in safetensors format: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2469:_save]
2025-06-17 00:07:18,280 - INFO - ⚙️ Config saved in checkpoint: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:2474:_save]
2025-06-17 00:07:18,281 - 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                          | 4600.97 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                        | 0.04 MB    |
+---------+--------------------------------------------+------------+
|      10 | eval_precision_at_15_plot.png              | 0.04 MB    |
+---------+--------------------------------------------+------------+
|      11 | README.md                                  | 0.01 MB    |
+---------+--------------------------------------------+------------+
|      12 | classification_log_2025-06-16_18-00-57.log | 0.09 MB    |
+---------+--------------------------------------------+------------+ - [multilabel_classify.py:2491:_save]
2025-06-17 00:08:53,532 - INFO - 💾 Model saved to: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3073:save_and_push]
2025-06-17 00:08:53,564 - INFO - 🖌️ Tokenizer saved to: ../tmp/MIMIC4_DEMO/mimic4_classify_mistral7b - [multilabel_classify.py:3077:save_and_push]