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facebook-commet-classification-small

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DuongTrongChi/facebook-commet-classification-small

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Apr11_05-21-47_4b0604d42325/events.out.tfevents.1712812908.4b0604d42325.1400.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
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  ---
 
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  tags:
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  - generated_from_trainer
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  metrics:
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  - f1
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  - precision
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  - recall
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- base_model: uitnlp/visobert
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  model-index:
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  - name: facebook-commet-classification-small
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  results: []
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  # facebook-commet-classification-small
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- This model is a fine-tuned version of [uitnlp/visobert](https://huggingface.co/uitnlp/visobert) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1327
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- - Accuracy: 0.9578
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- - F1: 0.7406
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- - Precision: 0.8167
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- - Recall: 0.6774
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.1282 | 1.0 | 1828 | 0.1327 | 0.9578 | 0.7406 | 0.8167 | 0.6774 |
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  ### Framework versions
 
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  ---
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+ base_model: uitnlp/visobert
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  - f1
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  - precision
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  - recall
 
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  model-index:
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  - name: facebook-commet-classification-small
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  results: []
 
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  # facebook-commet-classification-small
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+ This model is a fine-tuned version of [uitnlp/visobert](https://huggingface.co/uitnlp/visobert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1605
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+ - Accuracy: 0.9427
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+ - F1: 0.7552
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+ - Precision: 0.8298
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+ - Recall: 0.6929
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.2261 | 1.0 | 990 | 0.1605 | 0.9427 | 0.7552 | 0.8298 | 0.6929 |
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  ### Framework versions
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