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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilgpt2-CLM-DSM |
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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-CLM-DSM |
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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: 2.4049 |
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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: 4 |
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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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- 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 | 91 | 2.6265 | |
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| No log | 2.0 | 182 | 2.5381 | |
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| No log | 3.0 | 273 | 2.4948 | |
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| No log | 4.0 | 364 | 2.4634 | |
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| No log | 5.0 | 455 | 2.4436 | |
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| 2.6065 | 6.0 | 546 | 2.4276 | |
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| 2.6065 | 7.0 | 637 | 2.4176 | |
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| 2.6065 | 8.0 | 728 | 2.4103 | |
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| 2.6065 | 9.0 | 819 | 2.4061 | |
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| 2.6065 | 10.0 | 910 | 2.4049 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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