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--- |
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base_model: facebook/roberta-hate-speech-dynabench-r4-target |
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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: facebook-hate-speech-fine-tuned |
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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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# facebook-hate-speech-fine-tuned |
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This model is a fine-tuned version of [facebook/roberta-hate-speech-dynabench-r4-target](https://huggingface.co/facebook/roberta-hate-speech-dynabench-r4-target) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1943 |
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- Accuracy: 0.9636 |
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- Precision Macro: 0.8675 |
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- Recall Macro: 0.8731 |
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- F1 Macro: 0.8703 |
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- Precision Micro: 0.9636 |
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- Recall Micro: 0.9636 |
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- F1 Micro: 0.9636 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision Macro | Recall Macro | F1 Macro | Precision Micro | Recall Micro | F1 Micro | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------:| |
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| 0.2628 | 1.0 | 199 | 0.1203 | 0.9585 | 0.8840 | 0.7939 | 0.8318 | 0.9585 | 0.9585 | 0.9585 | |
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| 0.071 | 2.0 | 398 | 0.1640 | 0.9673 | 0.9144 | 0.8369 | 0.8709 | 0.9673 | 0.9673 | 0.9673 | |
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| 0.1483 | 3.0 | 597 | 0.1943 | 0.9636 | 0.8675 | 0.8731 | 0.8703 | 0.9636 | 0.9636 | 0.9636 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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