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Upload TFDistilBertForSequenceClassification

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  1. README.md +1 -15
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,9 +14,7 @@ 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: 0.0194
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- - Train Accuracy: 1.0
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- - Epoch: 9
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  ## Model description
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  ### Training results
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- | Train Loss | Train Accuracy | Epoch |
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- |:----------:|:--------------:|:-----:|
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- | 0.6630 | 0.6840 | 0 |
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- | 0.5155 | 0.9530 | 1 |
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- | 0.2621 | 0.9920 | 2 |
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- | 0.1315 | 0.9940 | 3 |
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- | 0.0817 | 0.9950 | 4 |
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- | 0.0550 | 0.9960 | 5 |
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- | 0.0394 | 0.9990 | 6 |
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- | 0.0310 | 0.9980 | 7 |
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- | 0.0248 | 0.9990 | 8 |
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- | 0.0194 | 1.0 | 9 |
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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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  ## Model description
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  ### Training results
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  ### Framework versions
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