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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: bart-base-detox |
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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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# bart-base-detox |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1819 |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5633 | 1.0 | 135 | 0.2524 | |
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| 0.2589 | 2.0 | 270 | 0.2193 | |
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| 0.2307 | 3.0 | 405 | 0.1993 | |
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| 0.2171 | 4.0 | 540 | 0.2002 | |
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| 0.2027 | 5.0 | 675 | 0.1937 | |
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| 0.1946 | 6.0 | 810 | 0.1972 | |
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| 0.1874 | 7.0 | 945 | 0.1917 | |
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| 0.1853 | 8.0 | 1080 | 0.1868 | |
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| 0.1811 | 9.0 | 1215 | 0.1890 | |
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| 0.1776 | 10.0 | 1350 | 0.1871 | |
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| 0.1798 | 11.0 | 1485 | 0.1858 | |
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| 0.1745 | 12.0 | 1620 | 0.1820 | |
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| 0.1689 | 13.0 | 1755 | 0.1827 | |
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| 0.1707 | 14.0 | 1890 | 0.1843 | |
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| 0.1658 | 15.0 | 2025 | 0.1834 | |
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| 0.1647 | 16.0 | 2160 | 0.1820 | |
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| 0.1645 | 17.0 | 2295 | 0.1837 | |
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| 0.1633 | 18.0 | 2430 | 0.1814 | |
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| 0.1612 | 19.0 | 2565 | 0.1815 | |
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| 0.1603 | 20.0 | 2700 | 0.1819 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.12.0.dev20220429 |
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- Datasets 2.1.0 |
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- Tokenizers 0.10.3 |
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