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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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metrics:
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- accuracy
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model-index:
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- name: distilbert-base-uncased__hate_speech_offensive__train-8-5
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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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# distilbert-base-uncased__hate_speech_offensive__train-8-5
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7214
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- Accuracy: 0.37
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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: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 50
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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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.0995 | 1.0 | 5 | 1.1301 | 0.0 |
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| 1.0227 | 2.0 | 10 | 1.1727 | 0.0 |
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| 1.0337 | 3.0 | 15 | 1.1734 | 0.2 |
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| 0.9137 | 4.0 | 20 | 1.1829 | 0.2 |
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| 0.8065 | 5.0 | 25 | 1.1496 | 0.4 |
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| 0.7038 | 6.0 | 30 | 1.1101 | 0.4 |
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| 0.6246 | 7.0 | 35 | 1.0982 | 0.2 |
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| 0.4481 | 8.0 | 40 | 1.0913 | 0.2 |
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| 0.3696 | 9.0 | 45 | 1.0585 | 0.4 |
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| 0.3137 | 10.0 | 50 | 1.0418 | 0.4 |
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| 0.2482 | 11.0 | 55 | 1.0078 | 0.4 |
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| 0.196 | 12.0 | 60 | 0.9887 | 0.6 |
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| 0.1344 | 13.0 | 65 | 0.9719 | 0.6 |
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| 0.1014 | 14.0 | 70 | 1.0053 | 0.6 |
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| 0.111 | 15.0 | 75 | 0.9653 | 0.6 |
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| 0.0643 | 16.0 | 80 | 0.9018 | 0.6 |
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| 0.0559 | 17.0 | 85 | 0.9393 | 0.6 |
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| 0.0412 | 18.0 | 90 | 1.0210 | 0.6 |
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| 0.0465 | 19.0 | 95 | 0.9965 | 0.6 |
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| 0.0328 | 20.0 | 100 | 0.9739 | 0.6 |
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| 0.0289 | 21.0 | 105 | 0.9796 | 0.6 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.2+cu102
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- Datasets 1.18.2
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- Tokenizers 0.10.3
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