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--- |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: GroNLP/hateBERT |
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metrics: |
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- accuracy |
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model-index: |
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- name: trainer |
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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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# trainer |
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This model is a fine-tuned version of [GroNLP/hateBERT](https://huggingface.co/GroNLP/hateBERT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5228 |
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- Accuracy: {'accuracy': 0.7989466452942523} |
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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: 0.001 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 20 |
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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: 4 |
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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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| 0.4295 | 1.0 | 2217 | 0.6655 | {'accuracy': 0.7348294023356996} | |
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| 0.3365 | 2.0 | 4434 | 0.5471 | {'accuracy': 0.7874971376230822} | |
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| 0.2882 | 3.0 | 6651 | 0.5133 | {'accuracy': 0.8014655369819098} | |
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| 0.2574 | 4.0 | 8868 | 0.5228 | {'accuracy': 0.7989466452942523} | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
