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Training in progress epoch 4

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  1. README.md +8 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.5678
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- - Train End Logits Accuracy: 0.8090
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- - Train Start Logits Accuracy: 0.7986
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- - Validation Loss: 1.0107
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- - Validation End Logits Accuracy: 0.7260
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- - Validation Start Logits Accuracy: 0.7194
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- - Epoch: 3
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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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  | 0.9507 | 0.7042 | 0.6909 | 1.0094 | 0.6973 | 0.6875 | 1 |
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  | 0.7253 | 0.7637 | 0.7515 | 0.9841 | 0.7182 | 0.7124 | 2 |
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  | 0.5678 | 0.8090 | 0.7986 | 1.0107 | 0.7260 | 0.7194 | 3 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.4469
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+ - Train End Logits Accuracy: 0.8470
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+ - Train Start Logits Accuracy: 0.8386
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+ - Validation Loss: 1.0938
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+ - Validation End Logits Accuracy: 0.7318
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+ - Validation Start Logits Accuracy: 0.7255
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+ - Epoch: 4
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  ## Model description
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  | 0.9507 | 0.7042 | 0.6909 | 1.0094 | 0.6973 | 0.6875 | 1 |
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  | 0.7253 | 0.7637 | 0.7515 | 0.9841 | 0.7182 | 0.7124 | 2 |
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  | 0.5678 | 0.8090 | 0.7986 | 1.0107 | 0.7260 | 0.7194 | 3 |
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+ | 0.4469 | 0.8470 | 0.8386 | 1.0938 | 0.7318 | 0.7255 | 4 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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