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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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datasets: |
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- null |
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model-index: |
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- name: gpt2-nft-poetry |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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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-nft-poetry |
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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: 4.0243 |
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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: 5 |
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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 | 282 | 4.3092 | |
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| 4.5403 | 2.0 | 564 | 4.1283 | |
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| 4.5403 | 3.0 | 846 | 4.0605 | |
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| 4.039 | 4.0 | 1128 | 4.0321 | |
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| 4.039 | 5.0 | 1410 | 4.0243 | |
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### Framework versions |
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- Transformers 4.10.0 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 1.11.0 |
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- Tokenizers 0.10.3 |
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