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escaa
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my_awesome_model

Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
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663f9fb
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Training in progress epoch 0

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  1. README.md +6 -8
  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: 0.0798
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- - Validation Loss: 0.1745
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- - Train Accuracy: 0.9468
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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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- | 0.2147 | 0.1662 | 0.9418 | 0 |
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- | 0.1251 | 0.1582 | 0.9457 | 1 |
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- | 0.0798 | 0.1745 | 0.9468 | 2 |
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  ### Framework versions
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  - Transformers 4.30.2
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  - TensorFlow 2.12.0
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- - Datasets 2.12.0
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  - Tokenizers 0.13.3
 
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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: 0.2161
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+ - Validation Loss: 0.1680
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+ - Train Accuracy: 0.9432
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+ - Epoch: 0
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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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+ | 0.2161 | 0.1680 | 0.9432 | 0 |
 
 
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  ### Framework versions
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  - Transformers 4.30.2
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  - TensorFlow 2.12.0
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+ - Datasets 2.13.0
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  - Tokenizers 0.13.3
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