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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-32-9
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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-32-9
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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: 0.7075
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- Accuracy: 0.692
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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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| 1.1054 | 1.0 | 19 | 1.0938 | 0.35 |
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| 1.0338 | 2.0 | 38 | 1.0563 | 0.65 |
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| 0.8622 | 3.0 | 57 | 0.9372 | 0.6 |
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| 0.5919 | 4.0 | 76 | 0.8461 | 0.6 |
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| 0.3357 | 5.0 | 95 | 1.0206 | 0.45 |
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| 0.1621 | 6.0 | 114 | 0.9802 | 0.7 |
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| 0.0637 | 7.0 | 133 | 1.2434 | 0.65 |
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| 0.0261 | 8.0 | 152 | 1.3865 | 0.65 |
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| 0.0156 | 9.0 | 171 | 1.4414 | 0.7 |
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| 0.01 | 10.0 | 190 | 1.5502 | 0.7 |
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| 0.0079 | 11.0 | 209 | 1.6102 | 0.7 |
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| 0.0062 | 12.0 | 228 | 1.6525 | 0.7 |
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| 0.0058 | 13.0 | 247 | 1.6884 | 0.7 |
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| 0.0046 | 14.0 | 266 | 1.7479 | 0.7 |
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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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