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update model card README.md

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  base_model: UBC-NLP/MARBERTv2
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  tags:
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  - generated_from_trainer
 
 
 
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  model-index:
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  - name: Model3_Marabertv2_T2_WOS
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  results: []
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  # Model3_Marabertv2_T2_WOS
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- This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on an unknown dataset.
 
 
 
 
 
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 15
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  ### Framework versions
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  - Transformers 4.31.0
 
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  base_model: UBC-NLP/MARBERTv2
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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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+ - accuracy
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  model-index:
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  - name: Model3_Marabertv2_T2_WOS
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  results: []
 
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  # Model3_Marabertv2_T2_WOS
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+ This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0816
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+ - F1: 0.8297
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+ - Roc Auc: 0.9146
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+ - Accuracy: 0.7412
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 15
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | No log | 1.0 | 193 | 0.1523 | 0.5204 | 0.6899 | 0.3743 |
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+ | No log | 2.0 | 386 | 0.1084 | 0.7070 | 0.7979 | 0.5940 |
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+ | 0.162 | 3.0 | 579 | 0.0896 | 0.7799 | 0.8517 | 0.6872 |
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+ | 0.162 | 4.0 | 772 | 0.0814 | 0.8089 | 0.8834 | 0.7281 |
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+ | 0.162 | 5.0 | 965 | 0.0845 | 0.8037 | 0.8866 | 0.7244 |
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+ | 0.0569 | 6.0 | 1158 | 0.0814 | 0.8112 | 0.8968 | 0.7095 |
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+ | 0.0569 | 7.0 | 1351 | 0.0744 | 0.8253 | 0.9009 | 0.7225 |
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+ | 0.0258 | 8.0 | 1544 | 0.0754 | 0.8313 | 0.9081 | 0.7207 |
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+ | 0.0258 | 9.0 | 1737 | 0.0754 | 0.8418 | 0.9171 | 0.7579 |
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+ | 0.0258 | 10.0 | 1930 | 0.0813 | 0.8264 | 0.9143 | 0.7356 |
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+ | 0.0145 | 11.0 | 2123 | 0.0816 | 0.8297 | 0.9146 | 0.7412 |
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+
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  ### Framework versions
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  - Transformers 4.31.0