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--- |
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library_name: peft |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Se124M10KInfPrompt_WT_EOS |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Se124M10KInfPrompt_WT_EOS |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0978 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 3.2645 | 0.5970 | 20 | 2.8750 | |
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| 3.0103 | 1.1791 | 40 | 2.6534 | |
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| 2.7014 | 1.7761 | 60 | 2.3720 | |
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| 2.3851 | 2.3582 | 80 | 2.1090 | |
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| 2.1288 | 2.9552 | 100 | 1.8650 | |
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| 1.9062 | 3.5373 | 120 | 1.6703 | |
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| 1.739 | 4.1194 | 140 | 1.5153 | |
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| 1.6033 | 4.7164 | 160 | 1.3879 | |
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| 1.5039 | 5.2985 | 180 | 1.2845 | |
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| 1.4219 | 5.8955 | 200 | 1.2122 | |
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| 1.357 | 6.4776 | 220 | 1.1649 | |
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| 1.3201 | 7.0597 | 240 | 1.1304 | |
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| 1.2923 | 7.6567 | 260 | 1.1101 | |
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| 1.2831 | 8.2388 | 280 | 1.1035 | |
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| 1.2715 | 8.8358 | 300 | 1.1007 | |
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| 1.2721 | 9.4179 | 320 | 1.0986 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu118 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
