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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: output |
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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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# output |
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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: 0.5751 |
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- Accuracy: 0.0021 |
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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: 0.0006058454513356471 |
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- train_batch_size: 16 |
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- eval_batch_size: 32 |
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- seed: 1 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.2205 | 1.25 | 315 | 0.8209 | 0.0010 | |
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| 0.813 | 2.51 | 630 | 0.7684 | 0.0009 | |
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| 0.7645 | 3.76 | 945 | 0.7393 | 0.0008 | |
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| 0.7249 | 5.02 | 1260 | 0.6980 | 0.0007 | |
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| 0.6832 | 6.27 | 1575 | 0.6646 | 0.0003 | |
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| 0.6426 | 7.53 | 1890 | 0.6371 | 0.0019 | |
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| 0.6034 | 8.78 | 2205 | 0.6041 | 0.0020 | |
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| 0.564 | 10.04 | 2520 | 0.5897 | 0.0018 | |
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| 0.5253 | 11.29 | 2835 | 0.5857 | 0.0018 | |
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| 0.4961 | 12.55 | 3150 | 0.5771 | 0.0017 | |
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| 0.4752 | 13.8 | 3465 | 0.5751 | 0.0021 | |
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### Framework versions |
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- Transformers 4.29.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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