Semhal2024/emotion-model3_fold_0
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README.md
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 41 | 1.
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### Framework versions
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9531
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- Accuracy: 0.6135
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- F1: 0.5573
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 41 | 1.3368 | 0.3804 | 0.2096 |
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| 1.3413 | 2.0 | 82 | 1.2883 | 0.3804 | 0.2096 |
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| 1.2917 | 3.0 | 123 | 1.0577 | 0.5521 | 0.4841 |
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| 1.1702 | 4.0 | 164 | 1.0247 | 0.5337 | 0.4033 |
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| 1.1099 | 5.0 | 205 | 0.9804 | 0.5460 | 0.4324 |
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| 1.1099 | 6.0 | 246 | 0.9531 | 0.6135 | 0.5573 |
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| 1.0856 | 7.0 | 287 | 0.9336 | 0.6135 | 0.5301 |
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| 1.0752 | 8.0 | 328 | 0.9257 | 0.5767 | 0.4883 |
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| 1.0393 | 9.0 | 369 | 0.9182 | 0.5828 | 0.5188 |
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| 1.0449 | 10.0 | 410 | 0.9131 | 0.5828 | 0.5188 |
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### Framework versions
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adapter_model.safetensors
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