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Browse files- README.md +12 -12
- logs/events.out.tfevents.1713950317.3ecb96318518.9529.3 +3 -0
- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Ratio: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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### Framework versions
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This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6453
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- Accuracy: 0.8309
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- Precision: 0.8362
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- Recall: 0.8309
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- F1: 0.8302
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- Ratio: 0.5631
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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| 0.5106 | 0.1626 | 10 | 0.6599 | 0.8289 | 0.8500 | 0.8289 | 0.8262 | 0.3772 |
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| 0.5228 | 0.3252 | 20 | 0.5642 | 0.8517 | 0.8517 | 0.8517 | 0.8517 | 0.5020 |
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| 0.5035 | 0.4878 | 30 | 0.5669 | 0.8544 | 0.8554 | 0.8544 | 0.8543 | 0.4725 |
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| 0.4325 | 0.6504 | 40 | 0.6077 | 0.8403 | 0.8442 | 0.8403 | 0.8398 | 0.4463 |
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| 0.4902 | 0.8130 | 50 | 0.6391 | 0.8322 | 0.8369 | 0.8322 | 0.8316 | 0.5591 |
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| 0.4774 | 0.9756 | 60 | 0.6453 | 0.8309 | 0.8362 | 0.8309 | 0.8302 | 0.5631 |
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### Framework versions
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logs/events.out.tfevents.1713950317.3ecb96318518.9529.3
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model.safetensors
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