[2025-07-04 07:05:02,269][__main__][INFO] - cache_dir: /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 bootstrap: enabled: true n_bootstrap: 10000 bootstrap_seed: 42 metrics: - QWK - Macro_F1 - Weighted_F1 post_training_results: model_path: /workspace/jbcs2025/outputs/2025-03-24/20-42-59 experiments: model: name: meta-llama/Llama-3.1-8B type: llama31_classification_lora num_labels: 6 output_dir: ./results/phi35-balanced/C4 logging_dir: ./logs/phi35-balanced/C4 best_model_dir: ./results/phi35-balanced/C4/best_model lora_r: 8 lora_dropout: 0.05 lora_alpha: 16 lora_target_modules: all-linear tokenizer: name: meta-llama/Llama-3.1-8B dataset: grade_index: 3 use_full_context: true training_params: weight_decay: 0.01 warmup_ratio: 0.1 learning_rate: 5.0e-05 train_batch_size: 8 eval_batch_size: 4 gradient_accumulation_steps: 2 gradient_checkpointing: true [2025-07-04 07:05:06,161][__main__][INFO] - GPU 0: NVIDIA H200 | TDP ≈ 700 W [2025-07-04 07:05:06,161][__main__][INFO] - Starting the Fine Tuning training process. [2025-07-04 07:05:09,926][transformers.tokenization_utils_base][INFO] - loading file tokenizer.json from cache at /tmp/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/tokenizer.json [2025-07-04 07:05:09,926][transformers.tokenization_utils_base][INFO] - loading file tokenizer.model from cache at None [2025-07-04 07:05:09,926][transformers.tokenization_utils_base][INFO] - loading file added_tokens.json from cache at None [2025-07-04 07:05:09,926][transformers.tokenization_utils_base][INFO] - loading file special_tokens_map.json from cache at /tmp/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/special_tokens_map.json [2025-07-04 07:05:09,926][transformers.tokenization_utils_base][INFO] - loading file tokenizer_config.json from cache at /tmp/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/tokenizer_config.json [2025-07-04 07:05:09,926][transformers.tokenization_utils_base][INFO] - loading file chat_template.jinja from cache at None [2025-07-04 07:05:10,192][transformers.tokenization_utils_base][INFO] - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. [2025-07-04 07:05:10,197][__main__][INFO] - Tokenizer function parameters- Padding:longest; Truncation: False; Use Full Context: True [2025-07-04 07:05:11,843][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /tmp/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 07:05:11,846][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "id2label": { "0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2", "3": "LABEL_3", "4": "LABEL_4", "5": "LABEL_5" }, "initializer_range": 0.02, "intermediate_size": 14336, "label2id": { "LABEL_0": 0, "LABEL_1": 1, "LABEL_2": 2, "LABEL_3": 3, "LABEL_4": 4, "LABEL_5": 5 }, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 07:05:11,977][transformers.modeling_utils][INFO] - loading weights file model.safetensors from cache at /tmp/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/model.safetensors.index.json [2025-07-04 07:05:11,977][transformers.modeling_utils][INFO] - Will use torch_dtype=torch.bfloat16 as defined in model's config object [2025-07-04 07:05:11,977][transformers.modeling_utils][INFO] - Instantiating LlamaForSequenceClassification model under default dtype torch.bfloat16. [2025-07-04 07:05:24,437][transformers.modeling_utils][INFO] - Some weights of the model checkpoint at meta-llama/Llama-3.1-8B were not used when initializing LlamaForSequenceClassification: ['lm_head.weight'] - This IS expected if you are initializing LlamaForSequenceClassification 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 LlamaForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). [2025-07-04 07:05:24,437][transformers.modeling_utils][WARNING] - Some weights of LlamaForSequenceClassification were not initialized from the model checkpoint at meta-llama/Llama-3.1-8B 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. [2025-07-04 07:05:25,874][__main__][INFO] - Initialized new PEFT model for ce loss [2025-07-04 07:05:25,876][__main__][INFO] - None [2025-07-04 07:05:25,878][transformers.training_args][INFO] - PyTorch: setting up devices [2025-07-04 07:05:25,915][__main__][INFO] - Total steps: 620. Number of warmup steps: 62 [2025-07-04 07:05:25,923][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. [2025-07-04 07:05:25,955][transformers.trainer][INFO] - Using auto half precision backend [2025-07-04 07:05:25,956][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. [2025-07-04 07:05:25,959][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:05:25,974][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 07:05:25,974][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 07:05:25,974][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 07:05:48,883][transformers.trainer][INFO] - The following columns in the Training set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:05:48,935][transformers.trainer][INFO] - ***** Running training ***** [2025-07-04 07:05:48,935][transformers.trainer][INFO] - Num examples = 500 [2025-07-04 07:05:48,935][transformers.trainer][INFO] - Num Epochs = 20 [2025-07-04 07:05:48,935][transformers.trainer][INFO] - Instantaneous batch size per device = 8 [2025-07-04 07:05:48,935][transformers.trainer][INFO] - Total train batch size (w. parallel, distributed & accumulation) = 16 [2025-07-04 07:05:48,935][transformers.trainer][INFO] - Gradient Accumulation steps = 2 [2025-07-04 07:05:48,935][transformers.trainer][INFO] - Total optimization steps = 640 [2025-07-04 07:05:48,938][transformers.trainer][INFO] - Number of trainable parameters = 20,996,096 [2025-07-04 07:05:49,024][transformers.models.llama.modeling_llama][WARNING] - `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`. [2025-07-04 07:10:37,087][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:10:37,091][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 07:10:37,091][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 07:10:37,091][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 07:10:59,471][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-32 [2025-07-04 07:10:59,796][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 07:10:59,797][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 07:15:46,752][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:15:46,756][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 07:15:46,756][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 07:15:46,756][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 07:16:09,271][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-64 [2025-07-04 07:16:09,598][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 07:16:09,598][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 07:16:10,022][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-32] due to args.save_total_limit [2025-07-04 07:20:56,894][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:20:56,897][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 07:20:56,898][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 07:20:56,898][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 07:21:19,331][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-96 [2025-07-04 07:21:19,645][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 07:21:19,646][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 07:21:20,034][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-64] due to args.save_total_limit [2025-07-04 07:26:06,988][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:26:06,992][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 07:26:06,992][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 07:26:06,992][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 07:26:29,498][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-128 [2025-07-04 07:26:29,860][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 07:26:29,860][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 07:26:30,232][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-96] due to args.save_total_limit [2025-07-04 07:31:16,880][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:31:16,884][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 07:31:16,885][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 07:31:16,885][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 07:31:39,318][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-160 [2025-07-04 07:31:39,656][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 07:31:39,657][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 07:31:40,034][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-128] due to args.save_total_limit [2025-07-04 07:36:26,867][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:36:26,871][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 07:36:26,871][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 07:36:26,871][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 07:36:49,340][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-192 [2025-07-04 07:36:49,676][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 07:36:49,677][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 07:41:36,420][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:41:36,424][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 07:41:36,424][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 07:41:36,424][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 07:41:58,734][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-224 [2025-07-04 07:41:59,089][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 07:41:59,090][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 07:41:59,429][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-192] due to args.save_total_limit [2025-07-04 07:46:45,130][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:46:45,134][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 07:46:45,134][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 07:46:45,134][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 07:47:07,540][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-256 [2025-07-04 07:47:14,492][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 07:47:14,493][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 07:47:15,013][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-224] due to args.save_total_limit [2025-07-04 07:52:01,757][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:52:01,761][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 07:52:01,761][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 07:52:01,761][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 07:52:24,289][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-288 [2025-07-04 07:52:24,661][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 07:52:24,662][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 07:52:25,044][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-160] due to args.save_total_limit [2025-07-04 07:52:25,054][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-256] due to args.save_total_limit [2025-07-04 07:57:12,133][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 07:57:12,136][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 07:57:12,137][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 07:57:12,137][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 07:57:34,658][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-320 [2025-07-04 07:57:35,024][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 07:57:35,025][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 08:02:22,456][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 08:02:22,460][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 08:02:22,460][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 08:02:22,460][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 08:02:44,909][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-352 [2025-07-04 08:02:45,436][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 08:02:45,437][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 08:02:45,838][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-288] due to args.save_total_limit [2025-07-04 08:02:45,852][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-320] due to args.save_total_limit [2025-07-04 08:07:32,580][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 08:07:32,584][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 08:07:32,584][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 08:07:32,584][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 08:07:55,116][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-384 [2025-07-04 08:07:55,476][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 08:07:55,477][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 08:12:42,567][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 08:12:42,571][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 08:12:42,571][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 08:12:42,571][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 08:13:05,015][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-416 [2025-07-04 08:13:05,363][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 08:13:05,364][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 08:13:05,740][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-384] due to args.save_total_limit [2025-07-04 08:17:52,457][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 08:17:52,461][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 08:17:52,461][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 08:17:52,461][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 08:18:14,897][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-448 [2025-07-04 08:18:15,238][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 08:18:15,239][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 08:18:15,638][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-416] due to args.save_total_limit [2025-07-04 08:23:02,400][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 08:23:02,404][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 08:23:02,404][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 08:23:02,404][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 08:23:24,867][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-480 [2025-07-04 08:23:25,225][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 08:23:25,226][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 08:23:25,636][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-448] due to args.save_total_limit [2025-07-04 08:28:12,605][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 08:28:12,609][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 08:28:12,609][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 08:28:12,609][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 08:28:35,127][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-512 [2025-07-04 08:28:35,515][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 08:28:35,515][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 08:28:35,942][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-480] due to args.save_total_limit [2025-07-04 08:28:35,957][transformers.trainer][INFO] - Training completed. Do not forget to share your model on huggingface.co/models =) [2025-07-04 08:28:35,957][transformers.trainer][INFO] - Loading best model from /workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-352 (score: 0.4666777740753082). [2025-07-04 08:28:36,068][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-04/07-05-02/results/phi35-balanced/C4/checkpoint-512] due to args.save_total_limit [2025-07-04 08:28:36,088][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 08:28:36,091][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 08:28:36,091][transformers.trainer][INFO] - Num examples = 132 [2025-07-04 08:28:36,091][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 08:28:58,625][__main__][INFO] - Training completed successfully. [2025-07-04 08:28:58,625][__main__][INFO] - Running on Test [2025-07-04 08:28:58,625][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year. If prompt, id, supporting_text, id_prompt, grades, essay_text, reference, essay_year are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message. [2025-07-04 08:28:58,629][transformers.trainer][INFO] - ***** Running Evaluation ***** [2025-07-04 08:28:58,629][transformers.trainer][INFO] - Num examples = 138 [2025-07-04 08:28:58,629][transformers.trainer][INFO] - Batch size = 4 [2025-07-04 08:29:22,452][__main__][INFO] - Test metrics: {'eval_loss': 1.2627924680709839, 'eval_model_preparation_time': 0.0114, 'eval_accuracy': 0.5144927536231884, 'eval_RMSE': 30.072376462244492, 'eval_QWK': 0.5135574837310195, 'eval_HDIV': 0.007246376811594235, 'eval_Macro_F1': 0.31758865248226953, 'eval_Micro_F1': 0.5144927536231884, 'eval_Weighted_F1': 0.5180758556891767, 'eval_TP_0': 0, 'eval_TN_0': 137, 'eval_FP_0': 0, 'eval_FN_0': 1, 'eval_TP_1': 0, 'eval_TN_1': 137, 'eval_FP_1': 0, 'eval_FN_1': 1, 'eval_TP_2': 6, 'eval_TN_2': 119, 'eval_FP_2': 10, 'eval_FN_2': 3, 'eval_TP_3': 42, 'eval_TN_3': 40, 'eval_FP_3': 22, 'eval_FN_3': 34, 'eval_TP_4': 20, 'eval_TN_4': 64, 'eval_FP_4': 28, 'eval_FN_4': 26, 'eval_TP_5': 3, 'eval_TN_5': 126, 'eval_FP_5': 7, 'eval_FN_5': 2, 'eval_runtime': 23.8118, 'eval_samples_per_second': 5.795, 'eval_steps_per_second': 1.47, 'epoch': 16.0} [2025-07-04 08:29:22,452][transformers.trainer][INFO] - Saving model checkpoint to ./results/phi35-balanced/C4/best_model [2025-07-04 08:29:22,761][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--meta-llama--Llama-3.1-8B/snapshots/d04e592bb4f6aa9cfee91e2e20afa771667e1d4b/config.json [2025-07-04 08:29:22,761][transformers.configuration_utils][INFO] - Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128001, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.53.0", "use_cache": true, "vocab_size": 128256 } [2025-07-04 08:29:22,969][transformers.tokenization_utils_base][INFO] - tokenizer config file saved in ./results/phi35-balanced/C4/best_model/tokenizer_config.json [2025-07-04 08:29:22,969][transformers.tokenization_utils_base][INFO] - Special tokens file saved in ./results/phi35-balanced/C4/best_model/special_tokens_map.json [2025-07-04 08:29:23,110][__main__][INFO] - Model and tokenizer saved to ./results/phi35-balanced/C4/best_model [2025-07-04 08:29:23,172][__main__][INFO] - Fine Tuning Finished. [2025-07-04 08:29:23,681][__main__][INFO] - Total emissions: 0.0645 kg CO2eq