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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: Se124M100KInfPrompt_endtoken_2 |
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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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# Se124M100KInfPrompt_endtoken_2 |
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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: 0.6764 |
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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: 0.0005 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH 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_steps: 500 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 0.7322 | 1.0 | 2859 | 0.7094 | |
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| 0.7085 | 2.0 | 5718 | 0.6955 | |
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| 0.6993 | 3.0 | 8577 | 0.6867 | |
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| 0.7004 | 4.0 | 11436 | 0.6852 | |
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| 0.6975 | 5.0 | 14295 | 0.6830 | |
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| 0.6921 | 6.0 | 17154 | 0.6809 | |
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| 0.6865 | 7.0 | 20013 | 0.6785 | |
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| 0.6795 | 8.0 | 22872 | 0.6769 | |
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| 0.6824 | 9.0 | 25731 | 0.6765 | |
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| 0.6834 | 9.9968 | 28580 | 0.6764 | |
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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 |
