End of training
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- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0
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- F1: 0.
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- Accuracy: 0.
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## Model description
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@@ -54,14 +54,14 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 15 | 0.
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| No log | 2.0 | 30 | 0.
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| No log | 3.0 | 45 | 0.
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| No log | 4.0 | 60 | 0.
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| No log | 5.0 | 75 | 0.
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| No log | 6.0 | 90 | 0.
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| No log | 7.0 | 105 | 0.
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| No log | 8.0 | 120 | 0.
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### Framework versions
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This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0212
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- Precision: 0.9803
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- Recall: 1.0
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- F1: 0.9901
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- Accuracy: 0.9980
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 15 | 0.2866 | 0.1199 | 0.2739 | 0.1668 | 0.9287 |
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| No log | 2.0 | 30 | 0.1369 | 0.6599 | 0.7996 | 0.7231 | 0.9654 |
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| No log | 3.0 | 45 | 0.0629 | 0.8088 | 0.9042 | 0.8538 | 0.9915 |
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| No log | 4.0 | 60 | 0.0381 | 0.9760 | 0.9978 | 0.9868 | 0.9969 |
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| No log | 5.0 | 75 | 0.0276 | 0.9781 | 0.9955 | 0.9868 | 0.9981 |
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| No log | 6.0 | 90 | 0.0238 | 0.9803 | 1.0 | 0.9901 | 0.9979 |
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| No log | 7.0 | 105 | 0.0224 | 0.9803 | 1.0 | 0.9901 | 0.9979 |
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| No log | 8.0 | 120 | 0.0212 | 0.9803 | 1.0 | 0.9901 | 0.9980 |
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### Framework versions
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model.safetensors
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