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README.md
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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: 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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