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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: 2.4256
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- - Train End Logits Accuracy: 0.4356
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- - Train Start Logits Accuracy: 0.4051
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- - Validation Loss: 2.1007
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- - Validation End Logits Accuracy: 0.4965
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- - Validation Start Logits Accuracy: 0.4787
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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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  | 3.3122 | 0.2821 | 0.2485 | 2.6648 | 0.3797 | 0.3553 | 0 |
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  | 2.6687 | 0.3873 | 0.3537 | 2.3167 | 0.4510 | 0.4297 | 1 |
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  | 2.4256 | 0.4356 | 0.4051 | 2.1007 | 0.4965 | 0.4787 | 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: 2.2600
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+ - Train End Logits Accuracy: 0.4678
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+ - Train Start Logits Accuracy: 0.4373
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+ - Validation Loss: 1.9512
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+ - Validation End Logits Accuracy: 0.5271
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+ - Validation Start Logits Accuracy: 0.5112
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+ - Epoch: 3
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  ## Model description
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  | 3.3122 | 0.2821 | 0.2485 | 2.6648 | 0.3797 | 0.3553 | 0 |
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  | 2.6687 | 0.3873 | 0.3537 | 2.3167 | 0.4510 | 0.4297 | 1 |
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  | 2.4256 | 0.4356 | 0.4051 | 2.1007 | 0.4965 | 0.4787 | 2 |
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+ | 2.2600 | 0.4678 | 0.4373 | 1.9512 | 0.5271 | 0.5112 | 3 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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