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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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model-index: |
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- name: gpt2-finetuned-yannic-test |
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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-yannic-test |
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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: 3.3803 |
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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-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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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.5406 | 1.0 | 503 | 3.4633 | |
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| 3.4091 | 2.0 | 1006 | 3.4278 | |
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| 3.3505 | 3.0 | 1509 | 3.4075 | |
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| 3.3088 | 4.0 | 2012 | 3.3954 | |
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| 3.281 | 5.0 | 2515 | 3.3892 | |
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| 3.2616 | 6.0 | 3018 | 3.3846 | |
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| 3.2434 | 7.0 | 3521 | 3.3815 | |
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| 3.2357 | 8.0 | 4024 | 3.3803 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.0 |
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- Tokenizers 0.13.2 |
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