Yeji-Seong
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End of training
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README.md
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@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) 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: 0.0
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- Recall: 0.0
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- F1: 0.0
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- Accuracy: 0.
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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 | 213 | 0.
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| No log | 2.0 | 426 | 0.
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3198
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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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- Accuracy: 0.9213
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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 | 213 | 0.4745 | 0.0 | 0.0 | 0.0 | 0.9205 |
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| No log | 2.0 | 426 | 0.4360 | 0.0 | 0.0 | 0.0 | 0.9205 |
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| 0.8491 | 3.0 | 639 | 0.3983 | 0.0 | 0.0 | 0.0 | 0.9205 |
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| 0.8491 | 4.0 | 852 | 0.3645 | 0.0 | 0.0 | 0.0 | 0.9205 |
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| 0.2454 | 5.0 | 1065 | 0.3428 | 0.0 | 0.0 | 0.0 | 0.9205 |
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| 0.2454 | 6.0 | 1278 | 0.3345 | 0.0 | 0.0 | 0.0 | 0.9208 |
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| 0.2454 | 7.0 | 1491 | 0.3266 | 0.0 | 0.0 | 0.0 | 0.9208 |
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| 0.2139 | 8.0 | 1704 | 0.3227 | 0.0 | 0.0 | 0.0 | 0.9210 |
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| 0.2139 | 9.0 | 1917 | 0.3203 | 0.0 | 0.0 | 0.0 | 0.9212 |
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| 0.2027 | 10.0 | 2130 | 0.3198 | 0.0 | 0.0 | 0.0 | 0.9213 |
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### Framework versions
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