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BertClassifier4NepaliNews

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
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Upload TFBertForSequenceClassification

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  1. README.md +6 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Shushant/nepaliBERT](https://huggingface.co/Shushant/nepaliBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.2835
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- - Validation Loss: 0.4827
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- - Epoch: 3
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  ## Model description
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@@ -42,10 +42,9 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 0.7026 | 0.5473 | 0 |
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- | 0.4457 | 0.4904 | 1 |
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- | 0.3595 | 0.4803 | 2 |
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- | 0.2835 | 0.4827 | 3 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Shushant/nepaliBERT](https://huggingface.co/Shushant/nepaliBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.3181
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+ - Validation Loss: 0.4388
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+ - Epoch: 2
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 0.6403 | 0.4846 | 0 |
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+ | 0.4024 | 0.4300 | 1 |
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+ | 0.3181 | 0.4388 | 2 |
 
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  ### Framework versions
tf_model.h5 CHANGED
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