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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: experiment-model-roberta |
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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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# experiment-model-roberta |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6733 |
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- Accuracy: 0.8538 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 5 |
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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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| 0.3299 | 1.0 | 884 | 0.3470 | 0.8453 | |
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| 0.3061 | 2.0 | 1768 | 0.3472 | 0.8546 | |
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| 0.2706 | 3.0 | 2652 | 0.3926 | 0.8583 | |
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| 0.1706 | 4.0 | 3536 | 0.5401 | 0.8495 | |
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| 0.1454 | 5.0 | 4420 | 0.6733 | 0.8538 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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