adriansanz
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End of training
Browse files- README.md +14 -14
- logs/events.out.tfevents.1715850645.d60620d3a8a0.680.3 +3 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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- recall
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model-index:
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- name:
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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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#
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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: 0.8151
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- Precision: 0.
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- Recall: 0.8151
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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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- recall
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- f1
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model-index:
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- name: 080524_epoch_3
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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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# 080524_epoch_3
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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: 0.7190
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- Accuracy: 0.8151
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- Precision: 0.8431
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- Recall: 0.8151
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- F1: 0.8113
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- Ratio: 0.6429
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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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| 0.4532 | 0.1176 | 10 | 0.6742 | 0.8193 | 0.8367 | 0.8193 | 0.8170 | 0.6134 |
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| 0.4299 | 0.2353 | 20 | 0.8276 | 0.7731 | 0.8079 | 0.7731 | 0.7665 | 0.6681 |
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| 0.4963 | 0.3529 | 30 | 0.7032 | 0.8235 | 0.8425 | 0.8235 | 0.8211 | 0.6176 |
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| 0.3726 | 0.4706 | 40 | 0.7220 | 0.8193 | 0.8395 | 0.8193 | 0.8166 | 0.6218 |
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| 0.3917 | 0.5882 | 50 | 0.8389 | 0.7941 | 0.8295 | 0.7941 | 0.7884 | 0.6639 |
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| 0.4565 | 0.7059 | 60 | 0.7085 | 0.8277 | 0.8429 | 0.8277 | 0.8258 | 0.6050 |
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| 0.4748 | 0.8235 | 70 | 0.6934 | 0.8109 | 0.8278 | 0.8109 | 0.8085 | 0.6134 |
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| 0.4813 | 0.9412 | 80 | 0.7157 | 0.8193 | 0.8426 | 0.8193 | 0.8162 | 0.6303 |
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### Framework versions
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logs/events.out.tfevents.1715850645.d60620d3a8a0.680.3
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model.safetensors
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training_args.bin
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