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End of training

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README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1043
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  ## Model description
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@@ -46,16 +46,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 16 | 0.3287 |
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- | No log | 2.0 | 32 | 0.2921 |
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- | No log | 3.0 | 48 | 0.2538 |
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- | No log | 4.0 | 64 | 0.2106 |
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- | No log | 5.0 | 80 | 0.1782 |
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- | No log | 6.0 | 96 | 0.1501 |
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- | No log | 7.0 | 112 | 0.1291 |
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- | No log | 8.0 | 128 | 0.1176 |
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- | No log | 9.0 | 144 | 0.1081 |
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- | No log | 10.0 | 160 | 0.1043 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2349
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 16 | 0.4170 |
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+ | No log | 2.0 | 32 | 0.3749 |
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+ | No log | 3.0 | 48 | 0.3703 |
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+ | No log | 4.0 | 64 | 0.3493 |
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+ | No log | 5.0 | 80 | 0.3248 |
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+ | No log | 6.0 | 96 | 0.2963 |
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+ | No log | 7.0 | 112 | 0.2721 |
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+ | No log | 8.0 | 128 | 0.2515 |
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+ | No log | 9.0 | 144 | 0.2393 |
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+ | No log | 10.0 | 160 | 0.2349 |
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  ### Framework versions
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