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--- |
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license: other |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilroberta-offensive |
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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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# distilroberta-offensive |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4526 |
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- Acc: 0.8975 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 12345 |
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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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- lr_scheduler_warmup_steps: 16 |
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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 | Acc | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.2321 | 1.0 | 1030 | 0.2404 | 0.9044 | |
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| 0.2539 | 2.0 | 2060 | 0.2139 | 0.9098 | |
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| 0.1997 | 3.0 | 3090 | 0.2561 | 0.9090 | |
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| 0.1663 | 4.0 | 4120 | 0.2409 | 0.9030 | |
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| 0.1515 | 5.0 | 5150 | 0.3000 | 0.9055 | |
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| 0.1035 | 6.0 | 6180 | 0.4170 | 0.9027 | |
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| 0.0466 | 7.0 | 7210 | 0.4526 | 0.8975 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.1 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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