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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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