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Training in progress epoch 1

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  1. README.md +5 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -13,10 +13,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [pile-of-law/legalbert-large-1.7M-2](https://huggingface.co/pile-of-law/legalbert-large-1.7M-2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.7225
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- - Validation Loss: 0.6917
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- - Train Accuracy: 0.5191
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- - Epoch: 0
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  ## Model description
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@@ -43,6 +43,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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  | 0.7225 | 0.6917 | 0.5191 | 0 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [pile-of-law/legalbert-large-1.7M-2](https://huggingface.co/pile-of-law/legalbert-large-1.7M-2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.6960
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+ - Validation Loss: 0.6932
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+ - Train Accuracy: 0.4809
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+ - Epoch: 1
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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  | 0.7225 | 0.6917 | 0.5191 | 0 |
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+ | 0.6960 | 0.6932 | 0.4809 | 1 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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