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djsull/logs_512

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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: 0.0048
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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: 0.9989
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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 | 44 | 0.0048 | 1.0 | 1.0 | 1.0 | 0.9989 |
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- | No log | 2.0 | 88 | 0.0010 | 1.0 | 1.0 | 1.0 | 0.9998 |
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- | No log | 3.0 | 132 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 4.0 | 176 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 220 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 6.0 | 264 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 308 | 0.0003 | 0.9900 | 0.995 | 0.9925 | 1.0000 |
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- | No log | 8.0 | 352 | 0.0003 | 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: 0.0008
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+ - Precision: 0.9900
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+ - Recall: 0.995
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+ - F1: 0.9925
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+ - Accuracy: 0.9999
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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 | 44 | 0.0039 | 0.9701 | 0.975 | 0.9726 | 0.9991 |
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+ | No log | 2.0 | 88 | 0.0018 | 0.8744 | 0.94 | 0.9060 | 0.9995 |
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+ | No log | 3.0 | 132 | 0.0011 | 0.9559 | 0.975 | 0.9653 | 0.9998 |
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+ | No log | 4.0 | 176 | 0.0008 | 0.9900 | 0.995 | 0.9925 | 0.9999 |
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+ | No log | 5.0 | 220 | 0.0007 | 0.9803 | 0.995 | 0.9876 | 0.9999 |
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+ | No log | 6.0 | 264 | 0.0007 | 0.9851 | 0.995 | 0.9900 | 0.9999 |
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+ | No log | 7.0 | 308 | 0.0007 | 0.9900 | 0.995 | 0.9925 | 0.9999 |
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+ | No log | 8.0 | 352 | 0.0007 | 0.9803 | 0.995 | 0.9876 | 0.9999 |
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  ### Framework versions
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