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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: model |
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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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# model |
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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: 3.5952 |
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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: 2e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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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- training_steps: 10000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 3.8102 | 0.14 | 500 | 3.6588 | |
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| 3.7552 | 0.27 | 1000 | 3.6436 | |
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| 3.7437 | 0.41 | 1500 | 3.6327 | |
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| 3.7243 | 0.55 | 2000 | 3.6255 | |
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| 3.7095 | 0.68 | 2500 | 3.6187 | |
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| 3.6972 | 0.82 | 3000 | 3.6148 | |
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| 3.6993 | 0.96 | 3500 | 3.6104 | |
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| 3.6896 | 1.09 | 4000 | 3.6069 | |
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| 3.6824 | 1.23 | 4500 | 3.6051 | |
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| 3.674 | 1.37 | 5000 | 3.6024 | |
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| 3.6823 | 1.5 | 5500 | 3.6015 | |
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| 3.6823 | 1.64 | 6000 | 3.6002 | |
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| 3.6687 | 1.78 | 6500 | 3.5988 | |
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| 3.6759 | 1.92 | 7000 | 3.5974 | |
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| 3.6735 | 2.05 | 7500 | 3.5968 | |
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| 3.6571 | 2.19 | 8000 | 3.5961 | |
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| 3.6575 | 2.33 | 8500 | 3.5959 | |
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| 3.6757 | 2.46 | 9000 | 3.5955 | |
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| 3.6749 | 2.6 | 9500 | 3.5952 | |
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| 3.6662 | 2.74 | 10000 | 3.5952 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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