Pushing fine-tuned model to Hugging Face Hub

README.md

@@ -0,0 +1,49 @@
+
+---
+language:
+- pt
+- en
+tags:
+- aes
+datasets:
+- kamel-usp/aes_enem_dataset
+base_model: microsoft/Phi-3.5-mini-instruct
+metrics:
+- accuracy
+- qwk
+library_name: peft
+model-index:
+  - name: phi35-balanced-C2
+    results:
+      - task:
+          type: text-classification
+          name: Automated Essay Score
+        dataset:
+          name: Automated Essay Score ENEM Dataset
+          type: kamel-usp/aes_enem_dataset
+          config: JBCS2025
+          split: test
+        metrics:
+          - name: Macro F1 (ignoring nan)
+            type: f1
+            value: 0.3635310763177709
+          - name: QWK
+            type: qwk
+            value: 0.3441810010847668
+          - name: Weighted Macro F1
+            type: f1
+            value: 0.3284848932013696
+---
+# Model ID: phi35-balanced-C2
+## Results
+|                              |   test_data |
+|:-----------------------------|------------:|
+| eval_accuracy                |   0.362319  |
+| eval_RMSE                    |  65.3197    |
+| eval_QWK                     |   0.344181  |
+| eval_Macro_F1                |   0.242354  |
+| eval_Macro_F1_(ignoring_nan) |   0.363531  |
+| eval_Weighted_F1             |   0.328485  |
+| eval_Micro_F1                |   0.362319  |
+| eval_HDIV                    |   0.0724638 |
+        

adapter_config.json

@@ -0,0 +1,39 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3.5-mini-instruct",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier",
+    "score"
+  ],
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_up_proj",
+    "down_proj",
+    "qkv_proj",
+    "o_proj"
+  ],
+  "task_type": "SEQ_CLS",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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run_experiment.log

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+[2025-03-24 19:26:35,748][__main__][INFO] - cache_dir: /media/data/tmp
+dataset:
+  name: kamel-usp/aes_enem_dataset
+  split: JBCS2025
+training_params:
+  seed: 42
+  num_train_epochs: 20
+  logging_steps: 100
+  metric_for_best_model: QWK
+  bf16: true
+post_training_results:
+  model_path: /workspace/jbcs2025/outputs/2025-03-23/23-16-55
+experiments:
+  model:
+    name: microsoft/Phi-3.5-mini-instruct
+    type: phi35_classification_lora
+    num_labels: 6
+    output_dir: ./results/phi35-balanced/C2
+    logging_dir: ./logs/phi35-balanced/C2
+    best_model_dir: ./results/phi35-balanced/C2/best_model
+    lora_r: 8
+    lora_dropout: 0.05
+    lora_alpha: 16
+    lora_target_modules: all-linear
+  dataset:
+    grade_index: 1
+  training_id: phi35-balanced-C2
+  training_params:
+    weight_decay: 0.01
+    warmup_ratio: 0.1
+    learning_rate: 5.0e-05
+    train_batch_size: 2
+    eval_batch_size: 16
+    gradient_accumulation_steps: 8
+    gradient_checkpointing: false
+
+[2025-03-24 19:26:35,750][__main__][INFO] - Starting the Fine Tuning training process.
+[2025-03-24 19:26:41,879][transformers.tokenization_utils_base][INFO] - loading file tokenizer.model from cache at /media/data/tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/tokenizer.model
+[2025-03-24 19:26:41,879][transformers.tokenization_utils_base][INFO] - loading file tokenizer.json from cache at /media/data/tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/tokenizer.json
+[2025-03-24 19:26:41,879][transformers.tokenization_utils_base][INFO] - loading file added_tokens.json from cache at /media/data/tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/added_tokens.json
+[2025-03-24 19:26:41,879][transformers.tokenization_utils_base][INFO] - loading file special_tokens_map.json from cache at /media/data/tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/special_tokens_map.json
+[2025-03-24 19:26:41,879][transformers.tokenization_utils_base][INFO] - loading file tokenizer_config.json from cache at /media/data/tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/tokenizer_config.json
+[2025-03-24 19:26:41,879][transformers.tokenization_utils_base][INFO] - loading file chat_template.jinja from cache at None
+[2025-03-24 19:26:41,954][transformers.tokenization_utils_base][INFO] - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
+[2025-03-24 19:26:41,960][__main__][INFO] - Tokenizer function parameters- Padding:longest; Truncation: False
+[2025-03-24 19:26:42,733][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /media/data/tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 19:26:42,734][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
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+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
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+  "label2id": {
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+  "max_position_embeddings": 131072,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
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+  "tie_word_embeddings": false,
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+  "use_cache": true,
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+}
+
+[2025-03-24 19:26:42,735][transformers.modeling_utils][INFO] - loading weights file model.safetensors from cache at /media/data/tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/model.safetensors.index.json
+[2025-03-24 19:26:42,735][transformers.modeling_utils][INFO] - Will use torch_dtype=torch.bfloat16 as defined in model's config object
+[2025-03-24 19:26:42,735][transformers.modeling_utils][INFO] - Instantiating Phi3ForSequenceClassification model under default dtype torch.bfloat16.
+[2025-03-24 19:27:09,890][transformers.modeling_utils][INFO] - Some weights of the model checkpoint at microsoft/Phi-3.5-mini-instruct were not used when initializing Phi3ForSequenceClassification: ['lm_head.weight']
+- This IS expected if you are initializing Phi3ForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
+- This IS NOT expected if you are initializing Phi3ForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
+[2025-03-24 19:27:09,891][transformers.modeling_utils][WARNING] - Some weights of Phi3ForSequenceClassification were not initialized from the model checkpoint at microsoft/Phi-3.5-mini-instruct and are newly initialized: ['score.weight']
+You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
+[2025-03-24 19:27:39,707][__main__][INFO] - None
+[2025-03-24 19:27:39,709][transformers.training_args][INFO] - PyTorch: setting up devices
+[2025-03-24 19:27:39,749][__main__][INFO] - Total steps: 620. Number of warmup steps: 62
+[2025-03-24 19:27:39,758][transformers.trainer][INFO] - You have loaded a model on multiple GPUs. `is_model_parallel` attribute will be force-set to `True` to avoid any unexpected behavior such as device placement mismatching.
+[2025-03-24 19:27:39,849][transformers.trainer][INFO] - Using auto half precision backend
+[2025-03-24 19:27:39,850][transformers.trainer][WARNING] - No label_names provided for model class `PeftModelForSequenceClassification`. Since `PeftModel` hides base models input arguments, if label_names is not given, label_names can't be set automatically within `Trainer`. Note that empty label_names list will be used instead.
+[2025-03-24 19:27:39,857][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 19:27:39,868][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 19:27:39,869][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 19:27:39,869][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 19:27:58,784][transformers][INFO] - {'accuracy': 0.24242424242424243, 'RMSE': 66.332495807108, 'QWK': -0.03813155386082001, 'HDIV': 0.20454545454545459, 'Macro_F1': 0.10504184527454583, 'Micro_F1': 0.24242424242424243, 'Weighted_F1': 0.1534017455634112, 'Macro_F1_(ignoring_nan)': np.float64(0.17506974212424306)}
+[2025-03-24 19:27:58,788][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 19:27:59,088][transformers.trainer][INFO] - The following columns in the training set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 19:27:59,114][transformers.trainer][INFO] - ***** Running training *****
+[2025-03-24 19:27:59,114][transformers.trainer][INFO] -   Num examples = 500
+[2025-03-24 19:27:59,114][transformers.trainer][INFO] -   Num Epochs = 20
+[2025-03-24 19:27:59,114][transformers.trainer][INFO] -   Instantaneous batch size per device = 2
+[2025-03-24 19:27:59,114][transformers.trainer][INFO] -   Total train batch size (w. parallel, distributed & accumulation) = 16
+[2025-03-24 19:27:59,114][transformers.trainer][INFO] -   Gradient Accumulation steps = 8
+[2025-03-24 19:27:59,114][transformers.trainer][INFO] -   Total optimization steps = 620
+[2025-03-24 19:27:59,116][transformers.trainer][INFO] -   Number of trainable parameters = 12,601,344
+[2025-03-24 19:33:57,142][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 19:33:57,144][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 19:33:57,144][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 19:33:57,144][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 19:34:15,625][transformers][INFO] - {'accuracy': 0.4621212121212121, 'RMSE': 49.11335065052284, 'QWK': 0.04061358655953251, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.1404692650765949, 'Micro_F1': 0.4621212121212121, 'Weighted_F1': 0.3043671150128393, 'Macro_F1_(ignoring_nan)': np.float64(0.3511731626914873)}
+[2025-03-24 19:34:15,626][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 19:34:15,629][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-32
+[2025-03-24 19:34:16,447][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 19:34:16,449][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
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+      2.749999523162842,
+      2.8399994373321533
+    ],
+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 262144,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0",
+  "use_cache": true,
+  "vocab_size": 32064
+}
+
+[2025-03-24 19:40:22,418][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 19:40:22,421][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 19:40:22,421][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 19:40:22,421][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 19:40:40,827][transformers][INFO] - {'accuracy': 0.4393939393939394, 'RMSE': 53.143601912576685, 'QWK': 0.2852760736196319, 'HDIV': 0.045454545454545414, 'Macro_F1': 0.2148417214126595, 'Micro_F1': 0.4393939393939394, 'Weighted_F1': 0.3616045380805515, 'Macro_F1_(ignoring_nan)': np.float64(0.26855215176582437)}
+[2025-03-24 19:40:40,828][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 19:40:40,830][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-64
+[2025-03-24 19:40:41,379][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 19:40:41,381][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "pad_token_id": 32000,
+  "partial_rotary_factor": 1.0,
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
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+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 262144,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0",
+  "use_cache": true,
+  "vocab_size": 32064
+}
+
+[2025-03-24 19:40:49,514][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-32] due to args.save_total_limit
+[2025-03-24 19:46:47,318][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 19:46:47,320][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 19:46:47,320][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 19:46:47,320][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 19:47:05,629][transformers][INFO] - {'accuracy': 0.4318181818181818, 'RMSE': 52.68545886444927, 'QWK': 0.33076514346439956, 'HDIV': 0.045454545454545414, 'Macro_F1': 0.2661131957473421, 'Micro_F1': 0.4318181818181818, 'Weighted_F1': 0.39607733052855004, 'Macro_F1_(ignoring_nan)': np.float64(0.4435219929122369)}
+[2025-03-24 19:47:05,630][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 19:47:05,632][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-96
+[2025-03-24 19:47:06,539][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 19:47:06,540][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "pad_token_id": 32000,
+  "partial_rotary_factor": 1.0,
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "long_factor": [
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+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 262144,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0",
+  "use_cache": true,
+  "vocab_size": 32064
+}
+
+[2025-03-24 19:47:15,012][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-64] due to args.save_total_limit
+[2025-03-24 19:53:13,045][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 19:53:13,048][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 19:53:13,048][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 19:53:13,048][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 19:53:31,528][transformers][INFO] - {'accuracy': 0.49242424242424243, 'RMSE': 47.60952285695233, 'QWK': 0.12331297059241364, 'HDIV': 0.022727272727272707, 'Macro_F1': 0.18550724637681157, 'Micro_F1': 0.49242424242424243, 'Weighted_F1': 0.36736934563021517, 'Macro_F1_(ignoring_nan)': np.float64(0.46376811594202894)}
+[2025-03-24 19:53:31,528][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 19:53:31,531][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-128
+[2025-03-24 19:53:31,974][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 19:53:31,976][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "pad_token_id": 32000,
+  "partial_rotary_factor": 1.0,
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "long_factor": [
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+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 262144,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0",
+  "use_cache": true,
+  "vocab_size": 32064
+}
+
+[2025-03-24 19:59:37,807][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 19:59:37,809][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 19:59:37,809][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 19:59:37,809][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 19:59:56,127][transformers][INFO] - {'accuracy': 0.38636363636363635, 'RMSE': 58.981250230796896, 'QWK': 0.35724465558194773, 'HDIV': 0.037878787878787845, 'Macro_F1': 0.21283275639401986, 'Micro_F1': 0.38636363636363635, 'Weighted_F1': 0.33311875189695395, 'Macro_F1_(ignoring_nan)': np.float64(0.3547212606566998)}
+[2025-03-24 19:59:56,128][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 19:59:56,131][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-160
+[2025-03-24 19:59:57,072][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 19:59:57,073][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "pad_token_id": 32000,
+  "partial_rotary_factor": 1.0,
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-05,
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+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 262144,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0",
+  "use_cache": true,
+  "vocab_size": 32064
+}
+
+[2025-03-24 20:00:05,315][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-96] due to args.save_total_limit
+[2025-03-24 20:00:05,332][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-128] due to args.save_total_limit
+[2025-03-24 20:06:02,991][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 20:06:02,994][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 20:06:02,994][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 20:06:02,994][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 20:06:21,333][transformers][INFO] - {'accuracy': 0.42424242424242425, 'RMSE': 48.36728170358491, 'QWK': 0.2587290502793297, 'HDIV': 0.022727272727272707, 'Macro_F1': 0.1805673137741449, 'Micro_F1': 0.42424242424242425, 'Weighted_F1': 0.36980931781690796, 'Macro_F1_(ignoring_nan)': np.float64(0.2708509706612173)}
+[2025-03-24 20:06:21,334][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 20:06:21,337][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-192
+[2025-03-24 20:06:21,788][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 20:06:21,789][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "pad_token_id": 32000,
+  "partial_rotary_factor": 1.0,
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
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+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 262144,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0",
+  "use_cache": true,
+  "vocab_size": 32064
+}
+
+[2025-03-24 20:12:27,944][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 20:12:27,946][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 20:12:27,946][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 20:12:27,946][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 20:12:46,237][transformers][INFO] - {'accuracy': 0.3560606060606061, 'RMSE': 51.75700801618925, 'QWK': 0.33579234972677596, 'HDIV': 0.05303030303030298, 'Macro_F1': 0.19786302390851182, 'Micro_F1': 0.3560606060606061, 'Weighted_F1': 0.3335142643286444, 'Macro_F1_(ignoring_nan)': np.float64(0.2967945358627677)}
+[2025-03-24 20:12:46,237][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 20:12:46,240][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-224
+[2025-03-24 20:12:46,833][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 20:12:46,835][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "pad_token_id": 32000,
+  "partial_rotary_factor": 1.0,
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "long_factor": [
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+    ],
+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 262144,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0",
+  "use_cache": true,
+  "vocab_size": 32064
+}
+
+[2025-03-24 20:12:55,009][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-192] due to args.save_total_limit
+[2025-03-24 20:18:52,733][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 20:18:52,736][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 20:18:52,736][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 20:18:52,736][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 20:19:11,023][transformers][INFO] - {'accuracy': 0.3333333333333333, 'RMSE': 61.00173867368143, 'QWK': 0.3459651387992253, 'HDIV': 0.06060606060606055, 'Macro_F1': 0.26468434343434344, 'Micro_F1': 0.3333333333333333, 'Weighted_F1': 0.33276419498010407, 'Macro_F1_(ignoring_nan)': np.float64(0.33085542929292927)}
+[2025-03-24 20:19:11,024][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 20:19:11,026][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-256
+[2025-03-24 20:19:11,512][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 20:19:11,513][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "pad_token_id": 32000,
+  "partial_rotary_factor": 1.0,
+  "resid_pdrop": 0.0,
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+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 262144,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0",
+  "use_cache": true,
+  "vocab_size": 32064
+}
+
+[2025-03-24 20:19:19,615][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-224] due to args.save_total_limit
+[2025-03-24 20:25:17,239][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 20:25:17,242][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 20:25:17,242][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 20:25:17,242][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 20:25:35,922][transformers][INFO] - {'accuracy': 0.4166666666666667, 'RMSE': 55.37749241945383, 'QWK': 0.3101710319755432, 'HDIV': 0.045454545454545414, 'Macro_F1': 0.23327141209785254, 'Micro_F1': 0.4166666666666667, 'Weighted_F1': 0.3928450028485377, 'Macro_F1_(ignoring_nan)': np.float64(0.34990711814677883)}
+[2025-03-24 20:25:35,923][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 20:25:35,926][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-288
+[2025-03-24 20:25:36,379][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 20:25:36,381][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "pad_token_id": 32000,
+  "partial_rotary_factor": 1.0,
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
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+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 262144,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0",
+  "use_cache": true,
+  "vocab_size": 32064
+}
+
+[2025-03-24 20:25:44,605][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-256] due to args.save_total_limit
+[2025-03-24 20:31:42,515][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 20:31:42,518][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 20:31:42,518][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 20:31:42,518][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 20:32:01,004][transformers][INFO] - {'accuracy': 0.45454545454545453, 'RMSE': 53.143601912576685, 'QWK': 0.24462127910403786, 'HDIV': 0.045454545454545414, 'Macro_F1': 0.27681543857724816, 'Micro_F1': 0.45454545454545453, 'Weighted_F1': 0.42073346116794536, 'Macro_F1_(ignoring_nan)': np.float64(0.3460192982215602)}
+[2025-03-24 20:32:01,005][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 20:32:01,008][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-320
+[2025-03-24 20:32:01,457][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 20:32:01,458][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "pad_token_id": 32000,
+  "partial_rotary_factor": 1.0,
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "long_factor": [
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+    ],
+    "type": "longrope"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 262144,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.0",
+  "use_cache": true,
+  "vocab_size": 32064
+}
+
+[2025-03-24 20:32:09,598][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-288] due to args.save_total_limit
+[2025-03-24 20:32:09,615][transformers.trainer][INFO] - 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[2025-03-24 20:32:09,616][transformers.trainer][INFO] - Loading best model from /workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-160 (score: 0.35724465558194773).
+[2025-03-24 20:32:31,185][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-24/19-26-35/results/phi35-balanced/C2/checkpoint-320] due to args.save_total_limit
+[2025-03-24 20:32:31,204][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 20:32:31,207][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 20:32:31,207][transformers.trainer][INFO] -   Num examples = 132
+[2025-03-24 20:32:31,207][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 20:32:49,532][transformers][INFO] - {'accuracy': 0.38636363636363635, 'RMSE': 58.981250230796896, 'QWK': 0.35724465558194773, 'HDIV': 0.037878787878787845, 'Macro_F1': 0.21283275639401986, 'Micro_F1': 0.38636363636363635, 'Weighted_F1': 0.33311875189695395, 'Macro_F1_(ignoring_nan)': np.float64(0.3547212606566998)}
+[2025-03-24 20:32:49,535][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 20:32:49,536][__main__][INFO] - Training completed successfully.
+[2025-03-24 20:32:49,537][__main__][INFO] - Running on Test
+[2025-03-24 20:32:49,537][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades. If id_prompt, essay_text, id, reference, prompt, essay_year, supporting_text, grades are not expected by `PeftModelForSequenceClassification.forward`,  you can safely ignore this message.
+[2025-03-24 20:32:49,539][transformers.trainer][INFO] - 
+***** Running Evaluation *****
+[2025-03-24 20:32:49,539][transformers.trainer][INFO] -   Num examples = 138
+[2025-03-24 20:32:49,539][transformers.trainer][INFO] -   Batch size = 16
+[2025-03-24 20:33:09,361][transformers][INFO] - {'accuracy': 0.36231884057971014, 'RMSE': 65.31972647421809, 'QWK': 0.3441810010847668, 'HDIV': 0.07246376811594202, 'Macro_F1': 0.24235405087851392, 'Micro_F1': 0.36231884057971014, 'Weighted_F1': 0.32848489320136964, 'Macro_F1_(ignoring_nan)': np.float64(0.3635310763177709)}
+[2025-03-24 20:33:09,362][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
+[2025-03-24 20:33:09,364][transformers.trainer][INFO] - Saving model checkpoint to ./results/phi35-balanced/C2/best_model
+[2025-03-24 20:33:09,802][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
+[2025-03-24 20:33:09,803][transformers.configuration_utils][INFO] - Model config Phi3Config {
+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3.5-mini-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
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+}
+
+[2025-03-24 20:33:17,890][__main__][INFO] - Fine Tuning Finished.

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