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Model save

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  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 7.8326
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  ## Model description
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@@ -44,18 +44,18 @@ 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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- | 10.8138 | 0.08 | 10 | 10.8042 |
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- | 10.7946 | 0.16 | 20 | 10.7810 |
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- | 10.7603 | 0.24 | 30 | 10.7205 |
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- | 10.6159 | 0.32 | 40 | 10.2845 |
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- | 9.881 | 0.4 | 50 | 9.2412 |
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- | 9.0551 | 0.48 | 60 | 8.6320 |
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- | 8.5603 | 0.56 | 70 | 8.3005 |
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- | 8.3761 | 0.64 | 80 | 8.1058 |
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- | 8.2158 | 0.72 | 90 | 7.9828 |
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- | 8.0922 | 0.8 | 100 | 7.9046 |
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- | 8.0326 | 0.88 | 110 | 7.8563 |
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- | 8.1135 | 0.96 | 120 | 7.8326 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 7.8443
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 10.8138 | 0.08 | 10 | 10.8041 |
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+ | 10.7943 | 0.16 | 20 | 10.7800 |
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+ | 10.7591 | 0.24 | 30 | 10.7172 |
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+ | 10.6049 | 0.32 | 40 | 10.2665 |
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+ | 9.8537 | 0.4 | 50 | 9.2379 |
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+ | 9.0545 | 0.48 | 60 | 8.6471 |
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+ | 8.5764 | 0.56 | 70 | 8.3265 |
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+ | 8.3924 | 0.64 | 80 | 8.1310 |
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+ | 8.2474 | 0.72 | 90 | 8.0031 |
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+ | 8.1181 | 0.8 | 100 | 7.9208 |
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+ | 8.0602 | 0.88 | 110 | 7.8697 |
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+ | 8.1216 | 0.96 | 120 | 7.8443 |
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  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 272184705
 
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