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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: python-gpt2-large-issues-128 |
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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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# python-gpt2-large-issues-128 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2286 |
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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: 5e-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: 16 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.9843 | 1.0 | 1163 | 1.6715 | |
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| 1.5713 | 2.0 | 2326 | 1.4301 | |
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| 1.4226 | 3.0 | 3489 | 1.3808 | |
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| 1.332 | 4.0 | 4652 | 1.3806 | |
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| 1.2708 | 5.0 | 5815 | 1.2737 | |
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| 1.2089 | 6.0 | 6978 | 1.2354 | |
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| 1.167 | 7.0 | 8141 | 1.2250 | |
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| 1.126 | 8.0 | 9304 | 1.2262 | |
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| 1.0846 | 9.0 | 10467 | 1.1891 | |
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| 1.0647 | 10.0 | 11630 | 1.2263 | |
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| 1.0301 | 11.0 | 12793 | 1.1383 | |
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| 1.0054 | 12.0 | 13956 | 1.0922 | |
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| 0.9714 | 13.0 | 15119 | 1.1141 | |
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| 0.9713 | 14.0 | 16282 | 1.1614 | |
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| 0.9362 | 15.0 | 17445 | 1.0753 | |
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| 0.9382 | 16.0 | 18608 | 1.2286 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.6 |
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