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Training in progress epoch 15

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  1. README.md +11 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1145
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- - Validation Loss: 0.3076
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- - Train Accuracy: 0.875
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- - Epoch: 8
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  ## Model description
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@@ -52,6 +52,13 @@ The following hyperparameters were used during training:
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  | 0.1950 | 0.2423 | 0.925 | 6 |
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  | 0.1502 | 0.2385 | 0.85 | 7 |
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  | 0.1145 | 0.3076 | 0.875 | 8 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0166
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+ - Validation Loss: 0.2396
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+ - Train Accuracy: 0.9
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+ - Epoch: 15
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  ## Model description
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  | 0.1950 | 0.2423 | 0.925 | 6 |
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  | 0.1502 | 0.2385 | 0.85 | 7 |
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  | 0.1145 | 0.3076 | 0.875 | 8 |
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+ | 0.0686 | 0.2499 | 0.9 | 9 |
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+ | 0.0511 | 0.2454 | 0.875 | 10 |
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+ | 0.0360 | 0.2422 | 0.875 | 11 |
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+ | 0.0316 | 0.2374 | 0.925 | 12 |
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+ | 0.0265 | 0.2426 | 0.925 | 13 |
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+ | 0.0202 | 0.2376 | 0.925 | 14 |
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+ | 0.0166 | 0.2396 | 0.9 | 15 |
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  ### Framework versions
tf_model.h5 CHANGED
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