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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: polynomial_2000_1e-3_16b_w0.075 |
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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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# polynomial_2000_1e-3_16b_w0.075 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8163 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: polynomial |
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- lr_scheduler_warmup_steps: 250 |
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- training_steps: 2000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 6.2211 | 0.9116 | 250 | 4.7231 | |
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| 4.0225 | 1.8232 | 500 | 3.4634 | |
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| 3.2171 | 2.7347 | 750 | 3.1355 | |
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| 2.8923 | 3.6463 | 1000 | 2.9862 | |
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| 2.6796 | 4.5579 | 1250 | 2.9034 | |
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| 2.4887 | 5.4695 | 1500 | 2.8586 | |
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| 2.3317 | 6.3810 | 1750 | 2.8339 | |
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| 2.193 | 7.2926 | 2000 | 2.8163 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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