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README.md
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# feedback-classification
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Macro F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| No log | 1.0 | 341 | 0.
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### Framework versions
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# feedback-classification
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This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-large-arabertv02-twitter) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5082
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- Macro F1: 0.8425
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- Accuracy: 0.8406
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| No log | 1.0 | 341 | 0.5222 | 0.8353 | 0.8333 |
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| 0.5602 | 2.0 | 682 | 0.5082 | 0.8425 | 0.8406 |
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### Framework versions
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