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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-32-7 |
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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-32-7 |
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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: 0.8210 |
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- Accuracy: 0.6305 |
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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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| 1.0989 | 1.0 | 19 | 1.0655 | 0.4 | |
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| 1.0102 | 2.0 | 38 | 0.9927 | 0.6 | |
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| 0.8063 | 3.0 | 57 | 0.9117 | 0.5 | |
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| 0.5284 | 4.0 | 76 | 0.8058 | 0.55 | |
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| 0.2447 | 5.0 | 95 | 0.8393 | 0.45 | |
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| 0.098 | 6.0 | 114 | 0.8438 | 0.6 | |
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| 0.0388 | 7.0 | 133 | 1.1901 | 0.45 | |
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| 0.0188 | 8.0 | 152 | 1.4429 | 0.45 | |
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| 0.0121 | 9.0 | 171 | 1.3648 | 0.4 | |
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| 0.0082 | 10.0 | 190 | 1.4768 | 0.4 | |
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| 0.0066 | 11.0 | 209 | 1.4830 | 0.45 | |
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| 0.0057 | 12.0 | 228 | 1.4936 | 0.45 | |
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| 0.0053 | 13.0 | 247 | 1.5649 | 0.4 | |
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| 0.0041 | 14.0 | 266 | 1.6306 | 0.4 | |
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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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