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Training in progress epoch 3

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  1. README.md +8 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 2.0285
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- - Train End Logits Accuracy: 0.5160
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- - Train Start Logits Accuracy: 0.4813
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- - Validation Loss: 1.5472
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- - Validation End Logits Accuracy: 0.6109
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- - Validation Start Logits Accuracy: 0.5994
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- - Epoch: 2
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  ## Model description
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@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
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  | 3.0253 | 0.3302 | 0.2968 | 2.2414 | 0.4704 | 0.4533 | 0 |
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  | 2.3162 | 0.4597 | 0.4260 | 1.8267 | 0.5511 | 0.5364 | 1 |
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  | 2.0285 | 0.5160 | 0.4813 | 1.5472 | 0.6109 | 0.5994 | 2 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.8125
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+ - Train End Logits Accuracy: 0.5587
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+ - Train Start Logits Accuracy: 0.5287
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+ - Validation Loss: 1.2995
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+ - Validation End Logits Accuracy: 0.6688
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+ - Validation Start Logits Accuracy: 0.6512
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+ - Epoch: 3
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  ## Model description
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  | 3.0253 | 0.3302 | 0.2968 | 2.2414 | 0.4704 | 0.4533 | 0 |
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  | 2.3162 | 0.4597 | 0.4260 | 1.8267 | 0.5511 | 0.5364 | 1 |
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  | 2.0285 | 0.5160 | 0.4813 | 1.5472 | 0.6109 | 0.5994 | 2 |
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+ | 1.8125 | 0.5587 | 0.5287 | 1.2995 | 0.6688 | 0.6512 | 3 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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