abarbosa commited on
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Pushing fine-tuned model to Hugging Face Hub

Browse files
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+
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+ ---
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+ language:
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+ - pt
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+ - en
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+ tags:
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+ - aes
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+ datasets:
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+ - kamel-usp/aes_enem_dataset
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+ base_model: microsoft/Phi-3.5-mini-instruct
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+ metrics:
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+ - accuracy
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+ - qwk
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+ library_name: peft
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+ model-index:
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+ - name: Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r16
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+ results:
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+ - task:
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+ type: text-classification
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+ name: Automated Essay Score
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+ dataset:
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+ name: Automated Essay Score ENEM Dataset
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+ type: kamel-usp/aes_enem_dataset
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+ config: JBCS2025
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+ split: test
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+ metrics:
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+ - name: Weighted Macro F1
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+ type: f1
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+ value: 0.28895990848185
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+ ---
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+ # Model ID: Phi-3.5-mini-instruct-phi35_classification_lora-C3-essay_only-r16
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+ ## Results
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+ | | test_data |
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+ |:-----------------|------------:|
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+ | eval_accuracy | 0.318841 |
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+ | eval_RMSE | 64.6955 |
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+ [2025-07-05 08:11:15,566][__main__][INFO] - cache_dir: /tmp/
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+ name: kamel-usp/aes_enem_dataset
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+ split: JBCS2025
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+ training_params:
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+ seed: 42
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+ experiments:
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+ model:
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+ name: microsoft/Phi-3.5-mini-instruct
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+ type: phi35_classification_lora
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+ num_labels: 6
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+ output_dir: ./results/phi4-balanced/C3
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+ logging_dir: ./logs/phi4-balanced/C3
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+
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+ [2025-07-05 08:11:19,463][__main__][INFO] - GPU 0: NVIDIA H200 | TDP ≈ 700 W
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+ [2025-07-05 08:11:19,463][__main__][INFO] - Starting the Fine Tuning training process.
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+ [2025-07-05 08:11:23,713][transformers.tokenization_utils_base][INFO] - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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+ [2025-07-05 08:11:23,718][__main__][INFO] - Tokenizer function parameters- Padding:longest; Truncation: False; Use Full Context: False
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+ ],
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+ "type": "longrope"
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+ },
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+ "rope_theta": 10000.0,
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+ "sliding_window": 262144,
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+ "tie_word_embeddings": false,
207
+ "torch_dtype": "bfloat16",
208
+ "transformers_version": "4.53.0",
209
+ "use_cache": true,
210
+ "vocab_size": 32064
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+ }
212
+
213
+ [2025-07-05 08:11:24,214][transformers.modeling_utils][INFO] - loading weights file model.safetensors from cache at /tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/model.safetensors.index.json
214
+ [2025-07-05 08:11:24,214][transformers.modeling_utils][INFO] - Will use torch_dtype=torch.bfloat16 as defined in model's config object
215
+ [2025-07-05 08:11:24,214][transformers.modeling_utils][INFO] - Instantiating Phi3ForSequenceClassification model under default dtype torch.bfloat16.
216
+ [2025-07-05 08:11:31,461][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']
217
+ - 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).
218
+ - 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).
219
+ [2025-07-05 08:11:31,461][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']
220
+ You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
221
+ [2025-07-05 08:11:32,467][__main__][INFO] - Initialized new PEFT model for ce loss
222
+ [2025-07-05 08:11:32,468][__main__][INFO] - None
223
+ [2025-07-05 08:11:32,470][transformers.training_args][INFO] - PyTorch: setting up devices
224
+ [2025-07-05 08:11:32,546][__main__][INFO] - Total steps: 620. Number of warmup steps: 62
225
+ [2025-07-05 08:11:32,551][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.
226
+ [2025-07-05 08:11:32,574][transformers.trainer][INFO] - Using auto half precision backend
227
+ [2025-07-05 08:11:32,575][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.
228
+ [2025-07-05 08:11:32,576][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
229
+ [2025-07-05 08:11:32,586][transformers.trainer][INFO] -
230
+ ***** Running Evaluation *****
231
+ [2025-07-05 08:11:32,586][transformers.trainer][INFO] - Num examples = 132
232
+ [2025-07-05 08:11:32,586][transformers.trainer][INFO] - Batch size = 4
233
+ [2025-07-05 08:11:44,221][transformers.trainer][INFO] - The following columns in the Training set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
234
+ [2025-07-05 08:11:44,253][transformers.trainer][INFO] - ***** Running training *****
235
+ [2025-07-05 08:11:44,253][transformers.trainer][INFO] - Num examples = 500
236
+ [2025-07-05 08:11:44,253][transformers.trainer][INFO] - Num Epochs = 20
237
+ [2025-07-05 08:11:44,253][transformers.trainer][INFO] - Instantaneous batch size per device = 8
238
+ [2025-07-05 08:11:44,253][transformers.trainer][INFO] - Total train batch size (w. parallel, distributed & accumulation) = 16
239
+ [2025-07-05 08:11:44,253][transformers.trainer][INFO] - Gradient Accumulation steps = 2
240
+ [2025-07-05 08:11:44,253][transformers.trainer][INFO] - Total optimization steps = 640
241
+ [2025-07-05 08:11:44,255][transformers.trainer][INFO] - Number of trainable parameters = 25,184,256
242
+ [2025-07-05 08:11:44,323][transformers.models.phi3.modeling_phi3][WARNING] - `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.
243
+ [2025-07-05 08:12:32,974][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
244
+ [2025-07-05 08:12:32,978][transformers.trainer][INFO] -
245
+ ***** Running Evaluation *****
246
+ [2025-07-05 08:12:32,978][transformers.trainer][INFO] - Num examples = 132
247
+ [2025-07-05 08:12:32,978][transformers.trainer][INFO] - Batch size = 4
248
+ [2025-07-05 08:12:44,254][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-32
249
+ [2025-07-05 08:12:44,556][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
250
+ [2025-07-05 08:12:44,557][transformers.configuration_utils][INFO] - Model config Phi3Config {
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+ "architectures": [
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+ "Phi3ForCausalLM"
253
+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "auto_map": {
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+ "AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
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+ },
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+ "bos_token_id": 1,
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+ }
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+
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+ [2025-07-05 08:13:33,578][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
390
+ [2025-07-05 08:13:33,581][transformers.trainer][INFO] -
391
+ ***** Running Evaluation *****
392
+ [2025-07-05 08:13:33,581][transformers.trainer][INFO] - Num examples = 132
393
+ [2025-07-05 08:13:33,581][transformers.trainer][INFO] - Batch size = 4
394
+ [2025-07-05 08:13:44,854][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-64
395
+ [2025-07-05 08:13:45,170][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
396
+ [2025-07-05 08:13:45,171][transformers.configuration_utils][INFO] - Model config Phi3Config {
397
+ "architectures": [
398
+ "Phi3ForCausalLM"
399
+ ],
400
+ "attention_bias": false,
401
+ "attention_dropout": 0.0,
402
+ "auto_map": {
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+ "AutoConfig": "configuration_phi3.Phi3Config",
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+ "AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
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+ },
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+ "bos_token_id": 1,
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+ "embd_pdrop": 0.0,
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+ "eos_token_id": 32000,
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+ "hidden_act": "silu",
410
+ "hidden_size": 3072,
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+ "initializer_range": 0.02,
412
+ "intermediate_size": 8192,
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+ "max_position_embeddings": 131072,
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+ "model_type": "phi3",
415
+ "num_attention_heads": 32,
416
+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "original_max_position_embeddings": 4096,
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+ "pad_token_id": 32000,
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+ "partial_rotary_factor": 1.0,
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+ "resid_pdrop": 0.0,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": {
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+ "type": "longrope"
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+ },
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+ "rope_theta": 10000.0,
527
+ "sliding_window": 262144,
528
+ "tie_word_embeddings": false,
529
+ "torch_dtype": "bfloat16",
530
+ "transformers_version": "4.53.0",
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+ "use_cache": true,
532
+ "vocab_size": 32064
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+ }
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+
535
+ [2025-07-05 08:13:45,382][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-32] due to args.save_total_limit
536
+ [2025-07-05 08:14:33,987][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
537
+ [2025-07-05 08:14:33,990][transformers.trainer][INFO] -
538
+ ***** Running Evaluation *****
539
+ [2025-07-05 08:14:33,990][transformers.trainer][INFO] - Num examples = 132
540
+ [2025-07-05 08:14:33,990][transformers.trainer][INFO] - Batch size = 4
541
+ [2025-07-05 08:14:45,270][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-96
542
+ [2025-07-05 08:14:45,573][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
543
+ [2025-07-05 08:14:45,574][transformers.configuration_utils][INFO] - Model config Phi3Config {
544
+ "architectures": [
545
+ "Phi3ForCausalLM"
546
+ ],
547
+ "attention_bias": false,
548
+ "attention_dropout": 0.0,
549
+ "auto_map": {
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+ "AutoConfig": "configuration_phi3.Phi3Config",
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+ "AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
552
+ },
553
+ "bos_token_id": 1,
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+ "embd_pdrop": 0.0,
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+ "eos_token_id": 32000,
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+ "hidden_act": "silu",
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+ "hidden_size": 3072,
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+ "initializer_range": 0.02,
559
+ "intermediate_size": 8192,
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+ "max_position_embeddings": 131072,
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+ "model_type": "phi3",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "original_max_position_embeddings": 4096,
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+ "pad_token_id": 32000,
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+ "partial_rotary_factor": 1.0,
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+ "rope_theta": 10000.0,
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+ "use_cache": true,
679
+ "vocab_size": 32064
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+ }
681
+
682
+ [2025-07-05 08:14:45,780][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-64] due to args.save_total_limit
683
+ [2025-07-05 08:15:34,411][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
684
+ [2025-07-05 08:15:34,414][transformers.trainer][INFO] -
685
+ ***** Running Evaluation *****
686
+ [2025-07-05 08:15:34,414][transformers.trainer][INFO] - Num examples = 132
687
+ [2025-07-05 08:15:34,414][transformers.trainer][INFO] - Batch size = 4
688
+ [2025-07-05 08:15:45,694][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-128
689
+ [2025-07-05 08:15:45,990][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
690
+ [2025-07-05 08:15:45,990][transformers.configuration_utils][INFO] - Model config Phi3Config {
691
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692
+ "Phi3ForCausalLM"
693
+ ],
694
+ "attention_bias": false,
695
+ "attention_dropout": 0.0,
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+ },
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+ "bos_token_id": 1,
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+ "hidden_act": "silu",
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+ "intermediate_size": 8192,
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+ "max_position_embeddings": 131072,
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+ "model_type": "phi3",
709
+ "num_attention_heads": 32,
710
+ "num_hidden_layers": 32,
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+ "original_max_position_embeddings": 4096,
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+ }
828
+
829
+ [2025-07-05 08:16:34,843][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
830
+ [2025-07-05 08:16:34,847][transformers.trainer][INFO] -
831
+ ***** Running Evaluation *****
832
+ [2025-07-05 08:16:34,847][transformers.trainer][INFO] - Num examples = 132
833
+ [2025-07-05 08:16:34,847][transformers.trainer][INFO] - Batch size = 4
834
+ [2025-07-05 08:16:46,125][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-160
835
+ [2025-07-05 08:16:46,439][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
836
+ [2025-07-05 08:16:46,440][transformers.configuration_utils][INFO] - Model config Phi3Config {
837
+ "architectures": [
838
+ "Phi3ForCausalLM"
839
+ ],
840
+ "attention_bias": false,
841
+ "attention_dropout": 0.0,
842
+ "auto_map": {
843
+ "AutoConfig": "configuration_phi3.Phi3Config",
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+ "AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
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+ },
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+ "bos_token_id": 1,
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+ "embd_pdrop": 0.0,
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+ "hidden_size": 3072,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 8192,
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+ "max_position_embeddings": 131072,
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+ "model_type": "phi3",
855
+ "num_attention_heads": 32,
856
+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "original_max_position_embeddings": 4096,
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+ "pad_token_id": 32000,
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+ "partial_rotary_factor": 1.0,
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+ "type": "longrope"
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+ },
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+ "rope_theta": 10000.0,
967
+ "sliding_window": 262144,
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+ "tie_word_embeddings": false,
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+ "use_cache": true,
972
+ "vocab_size": 32064
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+ }
974
+
975
+ [2025-07-05 08:16:46,682][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-96] due to args.save_total_limit
976
+ [2025-07-05 08:16:46,689][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-128] due to args.save_total_limit
977
+ [2025-07-05 08:17:35,317][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
978
+ [2025-07-05 08:17:35,320][transformers.trainer][INFO] -
979
+ ***** Running Evaluation *****
980
+ [2025-07-05 08:17:35,320][transformers.trainer][INFO] - Num examples = 132
981
+ [2025-07-05 08:17:35,320][transformers.trainer][INFO] - Batch size = 4
982
+ [2025-07-05 08:17:46,596][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-192
983
+ [2025-07-05 08:17:46,923][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
984
+ [2025-07-05 08:17:46,923][transformers.configuration_utils][INFO] - Model config Phi3Config {
985
+ "architectures": [
986
+ "Phi3ForCausalLM"
987
+ ],
988
+ "attention_bias": false,
989
+ "attention_dropout": 0.0,
990
+ "auto_map": {
991
+ "AutoConfig": "configuration_phi3.Phi3Config",
992
+ "AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
993
+ },
994
+ "bos_token_id": 1,
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+ "embd_pdrop": 0.0,
996
+ "eos_token_id": 32000,
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+ "hidden_act": "silu",
998
+ "hidden_size": 3072,
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+ "initializer_range": 0.02,
1000
+ "intermediate_size": 8192,
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+ "max_position_embeddings": 131072,
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+ "model_type": "phi3",
1003
+ "num_attention_heads": 32,
1004
+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "original_max_position_embeddings": 4096,
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+ "pad_token_id": 32000,
1008
+ "partial_rotary_factor": 1.0,
1009
+ "resid_pdrop": 0.0,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": {
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+ "vocab_size": 32064
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+ }
1122
+
1123
+ [2025-07-05 08:18:35,792][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
1124
+ [2025-07-05 08:18:35,795][transformers.trainer][INFO] -
1125
+ ***** Running Evaluation *****
1126
+ [2025-07-05 08:18:35,795][transformers.trainer][INFO] - Num examples = 132
1127
+ [2025-07-05 08:18:35,795][transformers.trainer][INFO] - Batch size = 4
1128
+ [2025-07-05 08:18:47,071][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-224
1129
+ [2025-07-05 08:18:47,371][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
1130
+ [2025-07-05 08:18:47,371][transformers.configuration_utils][INFO] - Model config Phi3Config {
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+ "architectures": [
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+ "Phi3ForCausalLM"
1133
+ ],
1134
+ "attention_bias": false,
1135
+ "attention_dropout": 0.0,
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+ }
1268
+
1269
+ [2025-07-05 08:18:47,571][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-192] due to args.save_total_limit
1270
+ [2025-07-05 08:19:36,205][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
1271
+ [2025-07-05 08:19:36,207][transformers.trainer][INFO] -
1272
+ ***** Running Evaluation *****
1273
+ [2025-07-05 08:19:36,208][transformers.trainer][INFO] - Num examples = 132
1274
+ [2025-07-05 08:19:36,208][transformers.trainer][INFO] - Batch size = 4
1275
+ [2025-07-05 08:19:47,482][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-256
1276
+ [2025-07-05 08:19:47,792][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
1277
+ [2025-07-05 08:19:47,793][transformers.configuration_utils][INFO] - Model config Phi3Config {
1278
+ "architectures": [
1279
+ "Phi3ForCausalLM"
1280
+ ],
1281
+ "attention_bias": false,
1282
+ "attention_dropout": 0.0,
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+ "auto_map": {
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+ "AutoConfig": "configuration_phi3.Phi3Config",
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+ "type": "longrope"
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+ "rope_theta": 10000.0,
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+ "sliding_window": 262144,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.53.0",
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+ "use_cache": true,
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+ }
1415
+
1416
+ [2025-07-05 08:19:47,984][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-224] due to args.save_total_limit
1417
+ [2025-07-05 08:20:36,611][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
1418
+ [2025-07-05 08:20:36,614][transformers.trainer][INFO] -
1419
+ ***** Running Evaluation *****
1420
+ [2025-07-05 08:20:36,614][transformers.trainer][INFO] - Num examples = 132
1421
+ [2025-07-05 08:20:36,614][transformers.trainer][INFO] - Batch size = 4
1422
+ [2025-07-05 08:20:47,888][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-288
1423
+ [2025-07-05 08:20:48,171][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
1424
+ [2025-07-05 08:20:48,172][transformers.configuration_utils][INFO] - Model config Phi3Config {
1425
+ "architectures": [
1426
+ "Phi3ForCausalLM"
1427
+ ],
1428
+ "attention_bias": false,
1429
+ "attention_dropout": 0.0,
1430
+ "auto_map": {
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+ "AutoConfig": "configuration_phi3.Phi3Config",
1432
+ "AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
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+ },
1434
+ "bos_token_id": 1,
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+ "embd_pdrop": 0.0,
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+ "eos_token_id": 32000,
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+ "hidden_act": "silu",
1438
+ "hidden_size": 3072,
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+ "initializer_range": 0.02,
1440
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+ "max_position_embeddings": 131072,
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+ "model_type": "phi3",
1443
+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "original_max_position_embeddings": 4096,
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1448
+ "partial_rotary_factor": 1.0,
1449
+ "resid_pdrop": 0.0,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": {
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+ "rope_theta": 10000.0,
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+ "use_cache": true,
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+ "vocab_size": 32064
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+ }
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+
1563
+ [2025-07-05 08:20:48,379][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-256] due to args.save_total_limit
1564
+ [2025-07-05 08:21:37,001][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
1565
+ [2025-07-05 08:21:37,004][transformers.trainer][INFO] -
1566
+ ***** Running Evaluation *****
1567
+ [2025-07-05 08:21:37,004][transformers.trainer][INFO] - Num examples = 132
1568
+ [2025-07-05 08:21:37,004][transformers.trainer][INFO] - Batch size = 4
1569
+ [2025-07-05 08:21:48,275][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-320
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+ [2025-07-05 08:21:48,595][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
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+ [2025-07-05 08:21:48,596][transformers.configuration_utils][INFO] - Model config Phi3Config {
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+ "Phi3ForCausalLM"
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+ ],
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+ "attention_bias": false,
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1710
+ [2025-07-05 08:21:48,769][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-288] due to args.save_total_limit
1711
+ [2025-07-05 08:21:48,776][transformers.trainer][INFO] -
1712
+
1713
+ Training completed. Do not forget to share your model on huggingface.co/models =)
1714
+
1715
+
1716
+ [2025-07-05 08:21:48,776][transformers.trainer][INFO] - Loading best model from /workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-160 (score: 0.339954945730084).
1717
+ [2025-07-05 08:21:48,946][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-05/08-11-15/results/phi4-balanced/C3/checkpoint-320] due to args.save_total_limit
1718
+ [2025-07-05 08:21:48,954][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
1719
+ [2025-07-05 08:21:48,956][transformers.trainer][INFO] -
1720
+ ***** Running Evaluation *****
1721
+ [2025-07-05 08:21:48,957][transformers.trainer][INFO] - Num examples = 132
1722
+ [2025-07-05 08:21:48,957][transformers.trainer][INFO] - Batch size = 4
1723
+ [2025-07-05 08:22:00,229][__main__][INFO] - Training completed successfully.
1724
+ [2025-07-05 08:22:00,229][__main__][INFO] - Running on Test
1725
+ [2025-07-05 08:22:00,229][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text. If essay_year, prompt, id, id_prompt, essay_text, reference, grades, supporting_text are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
1726
+ [2025-07-05 08:22:00,232][transformers.trainer][INFO] -
1727
+ ***** Running Evaluation *****
1728
+ [2025-07-05 08:22:00,232][transformers.trainer][INFO] - Num examples = 138
1729
+ [2025-07-05 08:22:00,232][transformers.trainer][INFO] - Batch size = 4
1730
+ [2025-07-05 08:22:12,355][__main__][INFO] - Test metrics: {'eval_loss': 1.6026326417922974, 'eval_model_preparation_time': 0.0072, 'eval_accuracy': 0.3188405797101449, 'eval_RMSE': 64.69549633766489, 'eval_QWK': 0.18108294703619676, 'eval_HDIV': 0.15217391304347827, 'eval_Macro_F1': 0.2258800762410992, 'eval_Micro_F1': 0.3188405797101449, 'eval_Weighted_F1': 0.28895990848185005, 'eval_TP_0': 0, 'eval_TN_0': 137, 'eval_FP_0': 0, 'eval_FN_0': 1, 'eval_TP_1': 1, 'eval_TN_1': 100, 'eval_FP_1': 9, 'eval_FN_1': 28, 'eval_TP_2': 6, 'eval_TN_2': 108, 'eval_FP_2': 12, 'eval_FN_2': 12, 'eval_TP_3': 10, 'eval_TN_3': 75, 'eval_FP_3': 18, 'eval_FN_3': 35, 'eval_TP_4': 24, 'eval_TN_4': 64, 'eval_FP_4': 36, 'eval_FN_4': 14, 'eval_TP_5': 3, 'eval_TN_5': 112, 'eval_FP_5': 19, 'eval_FN_5': 4, 'eval_runtime': 12.1157, 'eval_samples_per_second': 11.39, 'eval_steps_per_second': 2.889, 'epoch': 10.0}
1731
+ [2025-07-05 08:22:12,356][transformers.trainer][INFO] - Saving model checkpoint to ./results/phi4-balanced/C3/best_model
1732
+ [2025-07-05 08:22:12,651][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
1733
+ [2025-07-05 08:22:12,652][transformers.configuration_utils][INFO] - Model config Phi3Config {
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+ "architectures": [
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+ "Phi3ForCausalLM"
1736
+ ],
1737
+ "attention_bias": false,
1738
+ "attention_dropout": 0.0,
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+ "hidden_size": 3072,
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+ "intermediate_size": 8192,
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+ "num_attention_heads": 32,
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+ "vocab_size": 32064
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+ }
1871
+
1872
+ [2025-07-05 08:22:12,856][transformers.tokenization_utils_base][INFO] - chat template saved in ./results/phi4-balanced/C3/best_model/chat_template.jinja
1873
+ [2025-07-05 08:22:12,857][transformers.tokenization_utils_base][INFO] - tokenizer config file saved in ./results/phi4-balanced/C3/best_model/tokenizer_config.json
1874
+ [2025-07-05 08:22:12,857][transformers.tokenization_utils_base][INFO] - Special tokens file saved in ./results/phi4-balanced/C3/best_model/special_tokens_map.json
1875
+ [2025-07-05 08:22:12,879][__main__][INFO] - Model and tokenizer saved to ./results/phi4-balanced/C3/best_model
1876
+ [2025-07-05 08:22:12,883][__main__][INFO] - Fine Tuning Finished.
1877
+ [2025-07-05 08:22:13,391][__main__][INFO] - Total emissions: 0.0080 kg CO2eq
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
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