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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: GPT2-705M |
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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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# GPT2-705M |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3542 |
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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: 0.00025 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 20 |
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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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| 6.7388 | 1.0 | 3 | 6.6745 | |
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| 7.7712 | 2.0 | 6 | 6.9355 | |
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| 5.7851 | 3.0 | 9 | 6.0090 | |
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| 4.8315 | 4.0 | 12 | 5.7252 | |
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| 4.7133 | 5.0 | 15 | 5.2462 | |
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| 4.7276 | 6.0 | 18 | 4.9371 | |
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| 4.2828 | 7.0 | 21 | 4.8806 | |
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| 4.3069 | 8.0 | 24 | 4.4319 | |
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| 4.1875 | 9.0 | 27 | 4.2952 | |
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| 3.8318 | 10.0 | 30 | 4.1134 | |
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| 3.6746 | 11.0 | 33 | 3.9505 | |
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| 3.5241 | 12.0 | 36 | 3.7828 | |
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| 3.2439 | 13.0 | 39 | 3.7290 | |
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| 3.2954 | 14.0 | 42 | 3.5655 | |
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| 2.9475 | 15.0 | 45 | 3.4805 | |
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| 2.9343 | 16.0 | 48 | 3.5263 | |
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| 2.8517 | 17.0 | 51 | 3.4318 | |
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| 2.5458 | 18.0 | 54 | 3.3942 | |
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| 2.4846 | 19.0 | 57 | 3.3714 | |
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| 2.5766 | 20.0 | 60 | 3.3542 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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