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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-32-1 |
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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-32-1 |
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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: 1.0606 |
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- Accuracy: 0.4745 |
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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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| 1.0941 | 1.0 | 19 | 1.1045 | 0.2 | |
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| 0.9967 | 2.0 | 38 | 1.1164 | 0.35 | |
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| 0.8164 | 3.0 | 57 | 1.1570 | 0.4 | |
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| 0.5884 | 4.0 | 76 | 1.2403 | 0.35 | |
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| 0.3322 | 5.0 | 95 | 1.3815 | 0.35 | |
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| 0.156 | 6.0 | 114 | 1.8102 | 0.3 | |
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| 0.0576 | 7.0 | 133 | 2.1439 | 0.4 | |
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| 0.0227 | 8.0 | 152 | 2.4368 | 0.3 | |
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| 0.0133 | 9.0 | 171 | 2.5994 | 0.4 | |
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| 0.009 | 10.0 | 190 | 2.7388 | 0.35 | |
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| 0.0072 | 11.0 | 209 | 2.8287 | 0.35 | |
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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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