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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilgpt2-lotr |
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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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# distilgpt2-lotr |
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3901 |
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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: 64 |
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- eval_batch_size: 64 |
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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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- mixed_precision_training: Native AMP |
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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 | 73 | 3.6392 | |
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| No log | 2.0 | 146 | 3.5466 | |
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| No log | 3.0 | 219 | 3.5038 | |
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| No log | 4.0 | 292 | 3.4761 | |
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| No log | 5.0 | 365 | 3.4546 | |
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| No log | 6.0 | 438 | 3.4379 | |
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| 3.6024 | 7.0 | 511 | 3.4265 | |
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| 3.6024 | 8.0 | 584 | 3.4160 | |
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| 3.6024 | 9.0 | 657 | 3.4096 | |
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| 3.6024 | 10.0 | 730 | 3.4025 | |
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| 3.6024 | 11.0 | 803 | 3.3969 | |
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| 3.6024 | 12.0 | 876 | 3.3933 | |
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| 3.6024 | 13.0 | 949 | 3.3916 | |
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| 3.4101 | 14.0 | 1022 | 3.3910 | |
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| 3.4101 | 15.0 | 1095 | 3.3901 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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