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djsull/binary_every_exp

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README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0011
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- - Precision: 1.0
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  - Recall: 1.0
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- - F1: 1.0
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- - Accuracy: 1.0
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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 | 19 | 0.2323 | 0.8077 | 1.0 | 0.8936 | 0.9167 |
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- | No log | 2.0 | 38 | 0.1140 | 0.9130 | 1.0 | 0.9545 | 0.9667 |
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- | No log | 3.0 | 57 | 0.0112 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 4.0 | 76 | 0.0028 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 95 | 0.0531 | 0.9545 | 1.0 | 0.9767 | 0.9833 |
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- | No log | 6.0 | 114 | 0.0337 | 0.9545 | 1.0 | 0.9767 | 0.9833 |
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- | No log | 7.0 | 133 | 0.0014 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 152 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
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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: 0.0828
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+ - Precision: 0.9130
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  - Recall: 1.0
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+ - F1: 0.9545
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+ - Accuracy: 0.9667
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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 | 19 | 0.3163 | 0.7778 | 1.0 | 0.8750 | 0.9 |
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+ | No log | 2.0 | 38 | 0.1481 | 1.0 | 0.8571 | 0.9231 | 0.95 |
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+ | No log | 3.0 | 57 | 0.0828 | 0.9130 | 1.0 | 0.9545 | 0.9667 |
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+ | No log | 4.0 | 76 | 0.2338 | 0.875 | 1.0 | 0.9333 | 0.95 |
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+ | No log | 5.0 | 95 | 0.1933 | 0.9130 | 1.0 | 0.9545 | 0.9667 |
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+ | No log | 6.0 | 114 | 0.2310 | 0.875 | 1.0 | 0.9333 | 0.95 |
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+ | No log | 7.0 | 133 | 0.2327 | 0.875 | 1.0 | 0.9333 | 0.95 |
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+ | No log | 8.0 | 152 | 0.2346 | 0.875 | 1.0 | 0.9333 | 0.95 |
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  ### Framework versions
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