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--- |
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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: gpt2-finetuned |
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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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# gpt2-finetuned |
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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: 0.4615 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0016 | 0.2 | 500 | 0.5535 | |
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| 0.5665 | 0.4 | 1000 | 0.5245 | |
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| 0.545 | 0.6 | 1500 | 0.5085 | |
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| 0.528 | 0.8 | 2000 | 0.4968 | |
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| 0.5181 | 1.0 | 2500 | 0.4889 | |
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| 0.4931 | 1.2 | 3000 | 0.4844 | |
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| 0.4961 | 1.39 | 3500 | 0.4779 | |
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| 0.4886 | 1.59 | 4000 | 0.4754 | |
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| 0.4815 | 1.79 | 4500 | 0.4704 | |
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| 0.4794 | 1.99 | 5000 | 0.4687 | |
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| 0.4672 | 2.19 | 5500 | 0.4665 | |
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| 0.4642 | 2.39 | 6000 | 0.4650 | |
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| 0.4628 | 2.59 | 6500 | 0.4637 | |
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| 0.462 | 2.79 | 7000 | 0.4625 | |
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| 0.4595 | 2.99 | 7500 | 0.4615 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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