adriansanz
commited on
End of training
Browse files
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.
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- Precision: 0.
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- Recall: 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_2
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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_2
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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: 0.6633
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- Accuracy: 0.7941
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- Precision: 0.8018
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- Recall: 0.7941
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- F1: 0.7928
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- Ratio: 0.5798
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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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| 0.8337 | 0.1626 | 10 | 0.7759 | 0.7101 | 0.7126 | 0.7101 | 0.7092 | 0.4454 |
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| 0.7644 | 0.3252 | 20 | 0.7252 | 0.7563 | 0.7654 | 0.7563 | 0.7542 | 0.5924 |
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| 0.7339 | 0.4878 | 30 | 0.6925 | 0.7689 | 0.7732 | 0.7689 | 0.7680 | 0.5630 |
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| 0.7102 | 0.6504 | 40 | 0.6907 | 0.7647 | 0.7802 | 0.7647 | 0.7614 | 0.6176 |
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| 0.7758 | 0.8130 | 50 | 0.6682 | 0.7857 | 0.7917 | 0.7857 | 0.7846 | 0.5714 |
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| 0.6621 | 0.9756 | 60 | 0.6632 | 0.7899 | 0.7967 | 0.7899 | 0.7887 | 0.5756 |
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### Framework versions
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logs/events.out.tfevents.1715153889.4eb47db37635.5225.7
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training_args.bin
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