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Pushing fine-tuned model to Hugging Face Hub
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[2025-06-30 17:50:05,916][__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: microsoft/Phi-3.5-mini-instruct
type: phi35_classification_lora
num_labels: 6
output_dir: ./results/
logging_dir: ./logs/
best_model_dir: ./results/best_model
lora_r: 8
lora_dropout: 0.05
lora_alpha: 16
lora_target_modules: all-linear
checkpoint_path: ''
tokenizer:
name: microsoft/Phi-3.5-mini-instruct
dataset:
grade_index: 4
use_full_context: true
training_params:
weight_decay: 0.01
warmup_ratio: 0.1
learning_rate: 5.0e-05
train_batch_size: 1
eval_batch_size: 16
gradient_accumulation_steps: 16
gradient_checkpointing: false
[2025-06-30 17:50:09,926][__main__][INFO] - GPU 0: NVIDIA H200 | TDP 700 W
[2025-06-30 17:50:09,926][__main__][INFO] - Starting the Fine Tuning training process.
[2025-06-30 17:50:15,755][transformers.tokenization_utils_base][INFO] - loading file tokenizer.model from cache at /tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/tokenizer.model
[2025-06-30 17:50:15,756][transformers.tokenization_utils_base][INFO] - loading file tokenizer.json from cache at /tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/tokenizer.json
[2025-06-30 17:50:15,756][transformers.tokenization_utils_base][INFO] - loading file added_tokens.json from cache at /tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/added_tokens.json
[2025-06-30 17:50:15,756][transformers.tokenization_utils_base][INFO] - loading file special_tokens_map.json from cache at /tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/special_tokens_map.json
[2025-06-30 17:50:15,756][transformers.tokenization_utils_base][INFO] - loading file tokenizer_config.json from cache at /tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/tokenizer_config.json
[2025-06-30 17:50:15,756][transformers.tokenization_utils_base][INFO] - loading file chat_template.jinja from cache at None
[2025-06-30 17:50:15,814][transformers.tokenization_utils_base][INFO] - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
[2025-06-30 17:50:15,820][__main__][INFO] - Tokenizer function parameters- Padding:longest; Truncation: False; Use Full Context: True
[2025-06-30 17:50:17,493][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 17:50:17,494][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
},
"bos_token_id": 1,
"embd_pdrop": 0.0,
"eos_token_id": 32000,
"hidden_act": "silu",
"hidden_size": 3072,
"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": 8192,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2,
"LABEL_3": 3,
"LABEL_4": 4,
"LABEL_5": 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": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 17:50:17,494][transformers.modeling_utils][INFO] - loading weights file model.safetensors from cache at /tmp/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/model.safetensors.index.json
[2025-06-30 17:50:17,495][transformers.modeling_utils][INFO] - Will use torch_dtype=torch.bfloat16 as defined in model's config object
[2025-06-30 17:50:17,495][transformers.modeling_utils][INFO] - Instantiating Phi3ForSequenceClassification model under default dtype torch.bfloat16.
[2025-06-30 17:50:21,421][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).
[2025-06-30 17:50:21,422][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.
[2025-06-30 17:50:22,191][__main__][INFO] - Initialized new PEFT model for ce loss
[2025-06-30 17:50:22,193][__main__][INFO] - None
[2025-06-30 17:50:22,194][transformers.training_args][INFO] - PyTorch: setting up devices
[2025-06-30 17:50:22,253][__main__][INFO] - Total steps: 620. Number of warmup steps: 62
[2025-06-30 17:50:22,259][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.
[2025-06-30 17:50:22,290][transformers.trainer][INFO] - Using auto half precision backend
[2025-06-30 17:50:22,291][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.
[2025-06-30 17:50:22,293][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 17:50:22,310][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 17:50:22,310][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 17:50:22,310][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 17:50:40,875][transformers.trainer][INFO] - The following columns in the Training set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 17:50:40,910][transformers.trainer][INFO] - ***** Running training *****
[2025-06-30 17:50:40,910][transformers.trainer][INFO] - Num examples = 500
[2025-06-30 17:50:40,910][transformers.trainer][INFO] - Num Epochs = 20
[2025-06-30 17:50:40,910][transformers.trainer][INFO] - Instantaneous batch size per device = 1
[2025-06-30 17:50:40,910][transformers.trainer][INFO] - Total train batch size (w. parallel, distributed & accumulation) = 16
[2025-06-30 17:50:40,910][transformers.trainer][INFO] - Gradient Accumulation steps = 16
[2025-06-30 17:50:40,910][transformers.trainer][INFO] - Total optimization steps = 640
[2025-06-30 17:50:40,912][transformers.trainer][INFO] - Number of trainable parameters = 12,601,344
[2025-06-30 17:53:54,199][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 17:53:54,202][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 17:53:54,202][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 17:53:54,202][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 17:54:12,337][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-32
[2025-06-30 17:54:12,771][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 17:54:12,772][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 17:57:25,445][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 17:57:25,448][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 17:57:25,448][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 17:57:25,448][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 17:57:43,577][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-64
[2025-06-30 17:57:44,028][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 17:57:44,028][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 17:57:44,192][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-32] due to args.save_total_limit
[2025-06-30 18:00:56,595][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:00:56,598][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:00:56,598][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:00:56,598][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:01:14,733][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-96
[2025-06-30 18:01:15,169][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:01:15,170][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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": [
1.0,
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1.0499999523162842,
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2.0299997329711914,
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],
"type": "longrope"
},
"rope_theta": 10000.0,
"sliding_window": 262144,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:04:28,073][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:04:28,076][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:04:28,076][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:04:28,076][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:04:46,187][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-128
[2025-06-30 18:04:46,665][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:04:46,666][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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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63.96000289916992,
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64.12000274658203,
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64.51000213623047,
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],
"short_factor": [
1.0,
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2.0199997425079346,
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2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0799996852874756,
2.0899996757507324,
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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": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:04:46,894][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-64] due to args.save_total_limit
[2025-06-30 18:04:46,902][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-96] due to args.save_total_limit
[2025-06-30 18:07:59,368][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:07:59,372][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:07:59,372][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:07:59,372][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:08:17,489][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-160
[2025-06-30 18:08:17,930][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:08:17,931][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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,
1.1100000143051147,
1.1399999856948853,
1.340000033378601,
1.5899999141693115,
1.600000023841858,
1.6200000047683716,
2.620000123977661,
3.2300000190734863,
3.2300000190734863,
4.789999961853027,
7.400000095367432,
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9.09000015258789,
12.199999809265137,
17.670000076293945,
24.46000099182129,
28.57000160217285,
30.420001983642578,
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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": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:11:30,715][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:11:30,718][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:11:30,718][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:11:30,718][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:11:48,831][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-192
[2025-06-30 18:11:49,258][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:11:49,259][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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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1.1399999856948853,
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1.6200000047683716,
2.620000123977661,
3.2300000190734863,
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4.789999961853027,
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],
"short_factor": [
1.0,
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2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0799996852874756,
2.0899996757507324,
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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": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:11:49,497][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-160] due to args.save_total_limit
[2025-06-30 18:15:01,717][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:15:01,720][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:15:01,720][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:15:01,720][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:15:19,852][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-224
[2025-06-30 18:15:20,288][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:15:20,289][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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": [
1.0,
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2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
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2.0799996852874756,
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],
"type": "longrope"
},
"rope_theta": 10000.0,
"sliding_window": 262144,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:15:20,502][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-192] due to args.save_total_limit
[2025-06-30 18:18:32,970][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:18:32,973][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:18:32,973][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:18:32,973][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:18:51,100][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-256
[2025-06-30 18:18:51,557][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:18:51,558][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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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1.0499999523162842,
1.0499999523162842,
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2.0199997425079346,
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2.0299997329711914,
2.0299997329711914,
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2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0799996852874756,
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],
"type": "longrope"
},
"rope_theta": 10000.0,
"sliding_window": 262144,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:18:51,799][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-128] due to args.save_total_limit
[2025-06-30 18:18:51,806][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-224] due to args.save_total_limit
[2025-06-30 18:22:04,209][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:22:04,212][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:22:04,212][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:22:04,212][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:22:22,336][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-288
[2025-06-30 18:22:22,786][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:22:22,786][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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,
1.1100000143051147,
1.1399999856948853,
1.340000033378601,
1.5899999141693115,
1.600000023841858,
1.6200000047683716,
2.620000123977661,
3.2300000190734863,
3.2300000190734863,
4.789999961853027,
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9.09000015258789,
12.199999809265137,
17.670000076293945,
24.46000099182129,
28.57000160217285,
30.420001983642578,
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62.61000442504883,
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62.71000289916992,
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],
"short_factor": [
1.0,
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2.0299997329711914,
2.0299997329711914,
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],
"type": "longrope"
},
"rope_theta": 10000.0,
"sliding_window": 262144,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:25:35,409][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:25:35,413][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:25:35,413][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:25:35,413][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:25:53,538][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-320
[2025-06-30 18:25:53,974][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:25:53,975][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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,
1.1100000143051147,
1.1399999856948853,
1.340000033378601,
1.5899999141693115,
1.600000023841858,
1.6200000047683716,
2.620000123977661,
3.2300000190734863,
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4.789999961853027,
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9.09000015258789,
12.199999809265137,
17.670000076293945,
24.46000099182129,
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30.420001983642578,
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63.96000289916992,
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],
"short_factor": [
1.0,
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2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
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2.0299997329711914,
2.0299997329711914,
2.0799996852874756,
2.0899996757507324,
2.189999580383301,
2.2199995517730713,
2.5899994373321533,
2.729999542236328,
2.749999523162842,
2.8399994373321533
],
"type": "longrope"
},
"rope_theta": 10000.0,
"sliding_window": 262144,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:25:54,199][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-288] due to args.save_total_limit
[2025-06-30 18:29:06,827][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:29:06,830][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:29:06,830][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:29:06,830][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:29:24,939][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-352
[2025-06-30 18:29:25,399][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:29:25,399][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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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2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0299997329711914,
2.0799996852874756,
2.0899996757507324,
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],
"type": "longrope"
},
"rope_theta": 10000.0,
"sliding_window": 262144,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:29:25,593][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-256] due to args.save_total_limit
[2025-06-30 18:29:25,602][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-320] due to args.save_total_limit
[2025-06-30 18:32:38,168][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:32:38,171][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:32:38,171][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:32:38,171][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:32:56,294][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-384
[2025-06-30 18:32:56,748][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:32:56,749][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:36:09,455][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:36:09,459][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:36:09,459][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:36:09,459][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:36:27,562][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-416
[2025-06-30 18:36:28,026][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:36:28,027][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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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63.96000289916992,
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64.02999877929688,
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],
"short_factor": [
1.0,
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2.0799996852874756,
2.0899996757507324,
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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": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:36:28,192][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-384] due to args.save_total_limit
[2025-06-30 18:39:40,941][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:39:40,944][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:39:40,944][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:39:40,944][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:39:59,070][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-448
[2025-06-30 18:39:59,527][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:39:59,528][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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,
1.1100000143051147,
1.1399999856948853,
1.340000033378601,
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1.6200000047683716,
2.620000123977661,
3.2300000190734863,
3.2300000190734863,
4.789999961853027,
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9.09000015258789,
12.199999809265137,
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30.420001983642578,
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42.320003509521484,
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],
"short_factor": [
1.0,
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2.0299997329711914,
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2.0799996852874756,
2.0899996757507324,
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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": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:39:59,695][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-416] due to args.save_total_limit
[2025-06-30 18:43:12,243][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:43:12,246][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:43:12,246][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:43:12,246][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:43:30,365][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-480
[2025-06-30 18:43:30,787][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:43:30,787][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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,
1.1100000143051147,
1.1399999856948853,
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},
"rope_theta": 10000.0,
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}
[2025-06-30 18:43:30,988][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-448] due to args.save_total_limit
[2025-06-30 18:46:43,429][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:46:43,432][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:46:43,432][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:46:43,432][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:47:01,600][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-512
[2025-06-30 18:47:02,039][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:47:02,039][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
},
"bos_token_id": 1,
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"eos_token_id": 32000,
"hidden_act": "silu",
"hidden_size": 3072,
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"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,
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},
"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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}
[2025-06-30 18:47:02,207][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-480] due to args.save_total_limit
[2025-06-30 18:47:02,214][transformers.trainer][INFO] -
Training completed. Do not forget to share your model on huggingface.co/models =)
[2025-06-30 18:47:02,214][transformers.trainer][INFO] - Loading best model from /workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-352 (score: 0.5974704890387859).
[2025-06-30 18:47:02,285][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-06-30/17-50-05/results/checkpoint-512] due to args.save_total_limit
[2025-06-30 18:47:02,296][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:47:02,299][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:47:02,299][transformers.trainer][INFO] - Num examples = 132
[2025-06-30 18:47:02,299][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:47:20,435][__main__][INFO] - Training completed successfully.
[2025-06-30 18:47:20,435][__main__][INFO] - Running on Test
[2025-06-30 18:47:20,435][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `PeftModelForSequenceClassification.forward` and have been ignored: id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference. If id, supporting_text, id_prompt, essay_text, essay_year, grades, prompt, reference are not expected by `PeftModelForSequenceClassification.forward`, you can safely ignore this message.
[2025-06-30 18:47:20,438][transformers.trainer][INFO] -
***** Running Evaluation *****
[2025-06-30 18:47:20,438][transformers.trainer][INFO] - Num examples = 138
[2025-06-30 18:47:20,438][transformers.trainer][INFO] - Batch size = 16
[2025-06-30 18:47:39,460][__main__][INFO] - Test metrics: {'eval_loss': 1.750836968421936, 'eval_model_preparation_time': 0.013, 'eval_accuracy': 0.3333333333333333, 'eval_RMSE': 59.173045175673685, 'eval_QWK': 0.4890643389564535, 'eval_HDIV': 0.1376811594202898, 'eval_Macro_F1': 0.2544176381255033, 'eval_Micro_F1': 0.3333333333333333, 'eval_Weighted_F1': 0.3008136591917735, 'eval_TP_0': 12, 'eval_TN_0': 94, 'eval_FP_0': 22, 'eval_FN_0': 10, 'eval_TP_1': 5, 'eval_TN_1': 99, 'eval_FP_1': 7, 'eval_FN_1': 27, 'eval_TP_2': 1, 'eval_TN_2': 109, 'eval_FP_2': 5, 'eval_FN_2': 23, 'eval_TP_3': 16, 'eval_TN_3': 65, 'eval_FP_3': 48, 'eval_FN_3': 9, 'eval_TP_4': 12, 'eval_TN_4': 96, 'eval_FP_4': 10, 'eval_FN_4': 20, 'eval_TP_5': 0, 'eval_TN_5': 135, 'eval_FP_5': 0, 'eval_FN_5': 3, 'eval_runtime': 19.0087, 'eval_samples_per_second': 7.26, 'eval_steps_per_second': 0.473, 'epoch': 16.0}
[2025-06-30 18:47:39,461][transformers.trainer][INFO] - Saving model checkpoint to ./results/best_model
[2025-06-30 18:47:39,922][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /workspace/.hf_home/hub/models--microsoft--Phi-3.5-mini-instruct/snapshots/3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca/config.json
[2025-06-30 18:47:39,923][transformers.configuration_utils][INFO] - Model config Phi3Config {
"architectures": [
"Phi3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_phi3.Phi3Config",
"AutoModelForCausalLM": "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": "4.53.0",
"use_cache": true,
"vocab_size": 32064
}
[2025-06-30 18:47:39,980][transformers.tokenization_utils_base][INFO] - chat template saved in ./results/best_model/chat_template.jinja
[2025-06-30 18:47:39,981][transformers.tokenization_utils_base][INFO] - tokenizer config file saved in ./results/best_model/tokenizer_config.json
[2025-06-30 18:47:39,981][transformers.tokenization_utils_base][INFO] - Special tokens file saved in ./results/best_model/special_tokens_map.json
[2025-06-30 18:47:40,007][__main__][INFO] - Model and tokenizer saved to ./results/best_model
[2025-06-30 18:47:40,013][__main__][INFO] - Fine Tuning Finished.
[2025-06-30 18:47:40,525][__main__][INFO] - Total emissions: 0.3251 kg CO2eq