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End of training

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  1. README.md +6 -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: 0.2518
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- - Validation Loss: 0.1859
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- - Train Accuracy: 0.9261
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- - Epoch: 0
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  ## Model description
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@@ -44,6 +44,8 @@ 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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  | 0.2518 | 0.1859 | 0.9261 | 0 |
 
 
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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: 0.0632
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+ - Validation Loss: 0.2355
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+ - Train Accuracy: 0.9295
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+ - Epoch: 2
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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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  | 0.2518 | 0.1859 | 0.9261 | 0 |
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+ | 0.1319 | 0.1822 | 0.9318 | 1 |
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+ | 0.0632 | 0.2355 | 0.9295 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
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