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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilgpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: something |
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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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# something |
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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: 0.7061 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.6969 | 1.0 | 1429 | 0.7070 | |
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| 0.6916 | 2.0 | 2858 | 0.7016 | |
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| 0.6905 | 3.0 | 4287 | 0.7114 | |
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| 0.6887 | 4.0 | 5716 | 0.7091 | |
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| 0.6888 | 5.0 | 7145 | 0.7066 | |
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| 0.6878 | 6.0 | 8574 | 0.7043 | |
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| 0.6874 | 7.0 | 10003 | 0.7076 | |
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| 0.6877 | 8.0 | 11432 | 0.7072 | |
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| 0.6868 | 9.0 | 12861 | 0.7067 | |
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| 0.6869 | 10.0 | 14290 | 0.7061 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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