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Upload TFDistilBertForSequenceClassification

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  1. README.md +8 -10
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,11 +14,11 @@ 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: 0.0254
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- - Train Sparse Categorical Accuracy: 0.9922
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- - Validation Loss: 0.3001
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- - Validation Sparse Categorical Accuracy: 0.9276
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- - Epoch: 4
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  ## Model description
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@@ -44,11 +44,9 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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- | 0.2755 | 0.8848 | 0.1893 | 0.9269 | 0 |
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- | 0.1537 | 0.9419 | 0.1946 | 0.9244 | 1 |
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- | 0.0822 | 0.9723 | 0.2246 | 0.9211 | 2 |
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- | 0.0437 | 0.9865 | 0.2782 | 0.9240 | 3 |
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- | 0.0254 | 0.9922 | 0.3001 | 0.9276 | 4 |
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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: 0.0859
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+ - Train Sparse Categorical Accuracy: 0.9708
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+ - Validation Loss: 0.2284
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+ - Validation Sparse Categorical Accuracy: 0.9244
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+ - Epoch: 2
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  ## Model description
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  | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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+ | 0.2731 | 0.8882 | 0.1975 | 0.9200 | 0 |
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+ | 0.1554 | 0.9437 | 0.1929 | 0.9229 | 1 |
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+ | 0.0859 | 0.9708 | 0.2284 | 0.9244 | 2 |
 
 
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 267955144
 
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