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Upload TFDistilBertForSequenceClassification

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  1. README.md +6 -6
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -16,9 +16,9 @@ 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: 0.1071
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- - Validation Loss: 0.0883
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- - Train Accuracy: 0.968
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  - Epoch: 2
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  ## Model description
@@ -45,9 +45,9 @@ 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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- | 0.4326 | 0.2084 | 0.924 | 0 |
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- | 0.1850 | 0.1201 | 0.962 | 1 |
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- | 0.1071 | 0.0883 | 0.968 | 2 |
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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: 0.1219
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+ - Validation Loss: 0.0976
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+ - Train Accuracy: 0.976
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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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+ | 0.4391 | 0.1931 | 0.93 | 0 |
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+ | 0.1996 | 0.1249 | 0.96 | 1 |
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+ | 0.1219 | 0.0976 | 0.976 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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