jbcs2025_phi35-balanced-C4 / run_experiment.log
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Pushing fine-tuned model to Hugging Face Hub
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[2025-03-25 11:12:15,356][__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/2025-03-24/20-42-59
experiments:
model:
name: microsoft/Phi-3.5-mini-instruct
type: phi35_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
dataset:
grade_index: 3
training_id: phi35-balanced-C4
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
[2025-03-25 11:12:15,359][__main__][INFO] - Starting the Fine Tuning training process.
[2025-03-25 11:12:26,140][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
[2025-03-25 11:12:26,140][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
[2025-03-25 11:12:26,140][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
[2025-03-25 11:12:26,140][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
[2025-03-25 11:12:26,140][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
[2025-03-25 11:12:26,140][transformers.tokenization_utils_base][INFO] - loading file chat_template.jinja from cache at None
[2025-03-25 11:12:26,207][transformers.tokenization_utils_base][INFO] - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
[2025-03-25 11:12:26,214][__main__][INFO] - Tokenizer function parameters- Padding:longest; Truncation: False
[2025-03-25 11:12:26,892][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
[2025-03-25 11:12:26,893][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,
"id2label": {
"0": 0,
"1": 40,
"2": 80,
"3": 120,
"4": 160,
"5": 200
},
"initializer_range": 0.02,
"intermediate_size": 8192,
"label2id": {
"0": 0,
"40": 1,
"80": 2,
"120": 3,
"160": 4,
"200": 5
},
"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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"short_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
}
[2025-03-25 11:12:26,894][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
[2025-03-25 11:12:26,894][transformers.modeling_utils][INFO] - Will use torch_dtype=torch.bfloat16 as defined in model's config object
[2025-03-25 11:12:26,894][transformers.modeling_utils][INFO] - Instantiating Phi3ForSequenceClassification model under default dtype torch.bfloat16.
[2025-03-25 11:12:48,122][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).
[2025-03-25 11:12:48,122][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.
[2025-03-25 11:13:11,668][__main__][INFO] - None
[2025-03-25 11:13:11,670][transformers.training_args][INFO] - PyTorch: setting up devices
[2025-03-25 11:13:11,691][__main__][INFO] - Total steps: 620. Number of warmup steps: 62
[2025-03-25 11:13:11,698][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.
[2025-03-25 11:13:11,793][transformers.trainer][INFO] - Using auto half precision backend
[2025-03-25 11:13:11,794][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.
[2025-03-25 11:13:11,801][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 11:13:11,812][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 11:13:11,812][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 11:13:11,812][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 11:13:25,794][transformers][INFO] - {'accuracy': 0.17424242424242425, 'RMSE': 82.46211251235322, 'QWK': -0.15756893640967928, 'HDIV': 0.2803030303030303, 'Macro_F1': 0.0638888888888889, 'Micro_F1': 0.17424242424242425, 'Weighted_F1': 0.1393939393939394, 'Macro_F1_(ignoring_nan)': np.float64(0.38333333333333336)}
[2025-03-25 11:13:25,797][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 11:13:26,037][transformers.trainer][INFO] - The following columns in the training set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 11:13:26,063][transformers.trainer][INFO] - ***** Running training *****
[2025-03-25 11:13:26,063][transformers.trainer][INFO] - Num examples = 500
[2025-03-25 11:13:26,063][transformers.trainer][INFO] - Num Epochs = 20
[2025-03-25 11:13:26,064][transformers.trainer][INFO] - Instantaneous batch size per device = 2
[2025-03-25 11:13:26,064][transformers.trainer][INFO] - Total train batch size (w. parallel, distributed & accumulation) = 16
[2025-03-25 11:13:26,064][transformers.trainer][INFO] - Gradient Accumulation steps = 8
[2025-03-25 11:13:26,064][transformers.trainer][INFO] - Total optimization steps = 620
[2025-03-25 11:13:26,065][transformers.trainer][INFO] - Number of trainable parameters = 12,601,344
[2025-03-25 11:18:00,813][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 11:18:00,816][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 11:18:00,816][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 11:18:00,816][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 11:18:14,692][transformers][INFO] - {'accuracy': 0.5075757575757576, 'RMSE': 37.335497772755005, 'QWK': 0.04720060256088365, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.1564102564102564, 'Micro_F1': 0.5075757575757576, 'Weighted_F1': 0.3651903651903652, 'Macro_F1_(ignoring_nan)': np.float64(0.391025641025641)}
[2025-03-25 11:18:14,693][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 11:18:14,696][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-32
[2025-03-25 11:18:15,659][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
[2025-03-25 11:18:15,660][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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"short_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
}
[2025-03-25 11:22:56,037][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 11:22:56,039][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 11:22:56,039][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 11:22:56,039][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 11:23:09,486][transformers][INFO] - {'accuracy': 0.6060606060606061, 'RMSE': 28.91995221924885, 'QWK': 0.4387478432339166, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.3021052631578947, 'Micro_F1': 0.6060606060606061, 'Weighted_F1': 0.5774587985114301, 'Macro_F1_(ignoring_nan)': np.float64(0.5035087719298245)}
[2025-03-25 11:23:09,487][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 11:23:09,489][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-64
[2025-03-25 11:23:09,925][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
[2025-03-25 11:23:09,926][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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1.6200000047683716,
2.620000123977661,
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"short_factor": [
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2.0199997425079346,
2.0199997425079346,
2.0199997425079346,
2.0199997425079346,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
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2.0299997329711914,
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2.0799996852874756,
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2.189999580383301,
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2.729999542236328,
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
}
[2025-03-25 11:23:15,511][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-32] due to args.save_total_limit
[2025-03-25 11:27:49,639][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 11:27:49,642][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 11:27:49,642][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 11:27:49,642][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 11:28:03,302][transformers][INFO] - {'accuracy': 0.553030303030303, 'RMSE': 30.944720996896347, 'QWK': 0.33153846153846167, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.23943977591036414, 'Micro_F1': 0.553030303030303, 'Weighted_F1': 0.5042695866225277, 'Macro_F1_(ignoring_nan)': np.float64(0.3990662931839402)}
[2025-03-25 11:28:03,302][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 11:28:03,304][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-96
[2025-03-25 11:28:03,757][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
[2025-03-25 11:28:03,758][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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"short_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
}
[2025-03-25 11:32:45,176][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 11:32:45,179][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 11:32:45,179][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 11:32:45,179][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 11:32:58,797][transformers][INFO] - {'accuracy': 0.5833333333333334, 'RMSE': 28.91995221924885, 'QWK': 0.402048319327731, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.2524590163934426, 'Micro_F1': 0.5833333333333334, 'Weighted_F1': 0.5384997516145057, 'Macro_F1_(ignoring_nan)': np.float64(0.6311475409836065)}
[2025-03-25 11:32:58,798][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 11:32:58,800][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-128
[2025-03-25 11:32:59,231][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
[2025-03-25 11:32:59,231][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": [
1.0800000429153442,
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"short_factor": [
1.0,
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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
}
[2025-03-25 11:33:06,038][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-96] due to args.save_total_limit
[2025-03-25 11:37:40,393][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 11:37:40,395][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 11:37:40,395][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 11:37:40,395][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 11:37:54,018][transformers][INFO] - {'accuracy': 0.5757575757575758, 'RMSE': 29.74640288923158, 'QWK': 0.36488267861850776, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.24913793103448273, 'Micro_F1': 0.5757575757575758, 'Weighted_F1': 0.5282131661442006, 'Macro_F1_(ignoring_nan)': np.float64(0.6228448275862069)}
[2025-03-25 11:37:54,019][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 11:37:54,021][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-160
[2025-03-25 11:37:54,455][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
[2025-03-25 11:37:54,456][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": [
1.0800000429153442,
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2.620000123977661,
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"short_factor": [
1.0,
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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
}
[2025-03-25 11:38:01,627][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-128] due to args.save_total_limit
[2025-03-25 11:42:35,848][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 11:42:35,851][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 11:42:35,851][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 11:42:35,851][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 11:42:49,389][transformers][INFO] - {'accuracy': 0.5303030303030303, 'RMSE': 30.944720996896347, 'QWK': 0.3408343868520859, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.25017776341305753, 'Micro_F1': 0.5303030303030303, 'Weighted_F1': 0.500048970637206, 'Macro_F1_(ignoring_nan)': np.float64(0.41696293902176257)}
[2025-03-25 11:42:49,389][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 11:42:49,392][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-192
[2025-03-25 11:42:49,850][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
[2025-03-25 11:42:49,850][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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"short_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
}
[2025-03-25 11:42:57,012][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-160] due to args.save_total_limit
[2025-03-25 11:47:31,460][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 11:47:31,462][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 11:47:31,462][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 11:47:31,462][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 11:47:45,109][transformers][INFO] - {'accuracy': 0.5378787878787878, 'RMSE': 31.333978072025612, 'QWK': 0.5219102128420676, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.3209438880967848, 'Micro_F1': 0.5378787878787878, 'Weighted_F1': 0.5375975035810859, 'Macro_F1_(ignoring_nan)': np.float64(0.401179860120981)}
[2025-03-25 11:47:45,109][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 11:47:45,112][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-224
[2025-03-25 11:47:45,576][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
[2025-03-25 11:47:45,577][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": [
1.0800000429153442,
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"short_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
}
[2025-03-25 11:47:52,626][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-64] due to args.save_total_limit
[2025-03-25 11:47:52,632][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-192] due to args.save_total_limit
[2025-03-25 11:52:27,021][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 11:52:27,023][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 11:52:27,023][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 11:52:27,023][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 11:52:40,710][transformers][INFO] - {'accuracy': 0.49242424242424243, 'RMSE': 32.47376563543955, 'QWK': 0.41035120147874304, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.2695384450631827, 'Micro_F1': 0.49242424242424243, 'Weighted_F1': 0.49381802605190916, 'Macro_F1_(ignoring_nan)': np.float64(0.3369230563289784)}
[2025-03-25 11:52:40,710][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 11:52:40,713][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-256
[2025-03-25 11:52:41,164][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
[2025-03-25 11:52:41,164][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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2.620000123977661,
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],
"short_factor": [
1.0,
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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
}
[2025-03-25 11:57:22,807][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 11:57:22,810][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 11:57:22,810][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 11:57:22,810][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 11:57:36,914][transformers][INFO] - {'accuracy': 0.5303030303030303, 'RMSE': 30.944720996896347, 'QWK': 0.49671814671814674, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.3024938574938575, 'Micro_F1': 0.5303030303030303, 'Weighted_F1': 0.5311518129699948, 'Macro_F1_(ignoring_nan)': np.float64(0.5041564291564291)}
[2025-03-25 11:57:36,915][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 11:57:36,918][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-288
[2025-03-25 11:57:37,365][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
[2025-03-25 11:57:37,366][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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"short_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
}
[2025-03-25 11:57:44,625][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-256] due to args.save_total_limit
[2025-03-25 12:02:19,292][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 12:02:19,295][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 12:02:19,295][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 12:02:19,295][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 12:02:32,900][transformers][INFO] - {'accuracy': 0.5227272727272727, 'RMSE': 31.71845844395036, 'QWK': 0.3937583001328021, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.2602836879432624, 'Micro_F1': 0.5227272727272727, 'Weighted_F1': 0.5035460992907802, 'Macro_F1_(ignoring_nan)': np.float64(0.325354609929078)}
[2025-03-25 12:02:32,901][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 12:02:32,903][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-320
[2025-03-25 12:02:33,339][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
[2025-03-25 12:02:33,340][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": [
1.0800000429153442,
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"short_factor": [
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2.0299997329711914,
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2.0299997329711914,
2.0299997329711914,
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2.749999523162842,
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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
}
[2025-03-25 12:02:39,938][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-288] due to args.save_total_limit
[2025-03-25 12:07:14,417][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 12:07:14,419][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 12:07:14,419][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 12:07:14,420][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 12:07:27,903][transformers][INFO] - {'accuracy': 0.49242424242424243, 'RMSE': 31.333978072025612, 'QWK': 0.46389891696750907, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.31080979284369115, 'Micro_F1': 0.49242424242424243, 'Weighted_F1': 0.4942190264224163, 'Macro_F1_(ignoring_nan)': np.float64(0.3885122410546139)}
[2025-03-25 12:07:27,904][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 12:07:27,907][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-352
[2025-03-25 12:07:28,424][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
[2025-03-25 12:07:28,425][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": [
1.0800000429153442,
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2.620000123977661,
3.2300000190734863,
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],
"short_factor": [
1.0,
1.0199999809265137,
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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
}
[2025-03-25 12:07:35,137][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-320] due to args.save_total_limit
[2025-03-25 12:12:09,972][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 12:12:09,974][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 12:12:09,974][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 12:12:09,974][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 12:12:23,523][transformers][INFO] - {'accuracy': 0.5757575757575758, 'RMSE': 28.4977404739606, 'QWK': 0.43380281690140854, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.2515151515151515, 'Micro_F1': 0.5757575757575758, 'Weighted_F1': 0.5344352617079889, 'Macro_F1_(ignoring_nan)': np.float64(0.41919191919191917)}
[2025-03-25 12:12:23,524][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 12:12:23,527][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-384
[2025-03-25 12:12:23,958][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
[2025-03-25 12:12:23,959][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": [
1.0800000429153442,
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1.1399999856948853,
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1.6200000047683716,
2.620000123977661,
3.2300000190734863,
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64.41000366210938,
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],
"short_factor": [
1.0,
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2.0299997329711914,
2.0299997329711914,
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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
}
[2025-03-25 12:12:30,528][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-352] due to args.save_total_limit
[2025-03-25 12:12:30,535][transformers.trainer][INFO] -
Training completed. Do not forget to share your model on huggingface.co/models =)
[2025-03-25 12:12:30,535][transformers.trainer][INFO] - Loading best model from /workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-224 (score: 0.5219102128420676).
[2025-03-25 12:12:48,057][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-03-25/11-12-15/results/phi35-balanced/C4/checkpoint-384] due to args.save_total_limit
[2025-03-25 12:12:48,064][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 12:12:48,067][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 12:12:48,067][transformers.trainer][INFO] - Num examples = 132
[2025-03-25 12:12:48,067][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 12:13:01,694][transformers][INFO] - {'accuracy': 0.5378787878787878, 'RMSE': 31.333978072025612, 'QWK': 0.5219102128420676, 'HDIV': 0.007575757575757569, 'Macro_F1': 0.3209438880967848, 'Micro_F1': 0.5378787878787878, 'Weighted_F1': 0.5375975035810859, 'Macro_F1_(ignoring_nan)': np.float64(0.401179860120981)}
[2025-03-25 12:13:01,697][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 12:13:01,698][__main__][INFO] - Training completed successfully.
[2025-03-25 12:13:01,698][__main__][INFO] - Running on Test
[2025-03-25 12:13:01,699][transformers.trainer][INFO] - The following columns in the evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt. If essay_text, reference, id, grades, supporting_text, prompt, essay_year, id_prompt are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-03-25 12:13:01,701][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-03-25 12:13:01,701][transformers.trainer][INFO] - Num examples = 138
[2025-03-25 12:13:01,701][transformers.trainer][INFO] - Batch size = 16
[2025-03-25 12:13:16,666][transformers][INFO] - {'accuracy': 0.572463768115942, 'RMSE': 29.684329540851266, 'QWK': 0.5590312815338042, 'HDIV': 0.007246376811594235, 'Macro_F1': 0.29486004573723873, 'Micro_F1': 0.572463768115942, 'Weighted_F1': 0.593693390260896, 'Macro_F1_(ignoring_nan)': np.float64(0.44229006860585807)}
[2025-03-25 12:13:16,666][tensorboardX.summary][INFO] - Summary name eval/Macro_F1_(ignoring_nan) is illegal; using eval/Macro_F1__ignoring_nan_ instead.
[2025-03-25 12:13:16,669][transformers.trainer][INFO] - Saving model checkpoint to ./results/phi35-balanced/C4/best_model
[2025-03-25 12:13:17,103][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
[2025-03-25 12:13:17,103][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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[2025-03-25 12:13:23,549][__main__][INFO] - Fine Tuning Finished.