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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-large |
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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-large |
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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: 3.0845 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 403 | 3.2112 | |
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| 3.3686 | 2.0 | 806 | 3.1667 | |
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| 3.2407 | 3.0 | 1209 | 3.1426 | |
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| 3.1842 | 4.0 | 1612 | 3.1277 | |
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| 3.134 | 5.0 | 2015 | 3.1135 | |
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| 3.134 | 6.0 | 2418 | 3.1055 | |
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| 3.0949 | 7.0 | 2821 | 3.1004 | |
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| 3.0644 | 8.0 | 3224 | 3.0938 | |
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| 3.0391 | 9.0 | 3627 | 3.0904 | |
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| 3.0219 | 10.0 | 4030 | 3.0882 | |
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| 3.0219 | 11.0 | 4433 | 3.0865 | |
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| 3.0052 | 12.0 | 4836 | 3.0858 | |
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| 2.9926 | 13.0 | 5239 | 3.0859 | |
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| 2.9803 | 14.0 | 5642 | 3.0842 | |
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| 2.9793 | 15.0 | 6045 | 3.0845 | |
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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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