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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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base_model: distilbert-base-uncased |
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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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| 0.0271 | 22.0 | 110 | 0.9968 | 0.6 | |
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| 0.0239 | 23.0 | 115 | 1.0143 | 0.6 | |
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| 0.0201 | 24.0 | 120 | 1.0459 | 0.6 | |
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| 0.0185 | 25.0 | 125 | 1.0698 | 0.6 | |
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| 0.0183 | 26.0 | 130 | 1.0970 | 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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