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Model save

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  1. README.md +6 -6
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@@ -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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7010
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  ## Model description
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@@ -47,11 +47,11 @@ 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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- | 4.2488 | 1.0 | 22164 | 3.4692 |
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- | 3.346 | 2.0 | 44328 | 3.0511 |
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- | 3.0672 | 3.0 | 66492 | 2.8580 |
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- | 2.9221 | 4.0 | 88656 | 2.7470 |
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- | 2.8449 | 5.0 | 110820 | 2.7010 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6747
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:------:|:---------------:|
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+ | 4.1786 | 1.0 | 23064 | 3.4009 |
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+ | 3.29 | 2.0 | 46128 | 3.0144 |
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+ | 3.0247 | 3.0 | 69192 | 2.8268 |
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+ | 2.8871 | 4.0 | 92256 | 2.7212 |
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+ | 2.8119 | 5.0 | 115320 | 2.6747 |
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  ### Framework versions