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jborras18
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conll_test

Token Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
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Training in progress epoch 0

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  1. README.md +7 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,12 +14,12 @@ 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: 0.1806
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- - Validation Loss: 0.0586
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- - Train Precision: 0.9061
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- - Train Recall: 0.9229
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- - Train F1: 0.9145
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- - Train Accuracy: 0.9837
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  - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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- | 0.1806 | 0.0586 | 0.9061 | 0.9229 | 0.9145 | 0.9837 | 0 |
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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: 0.1797
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+ - Validation Loss: 0.0573
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+ - Train Precision: 0.9166
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+ - Train Recall: 0.9249
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+ - Train F1: 0.9208
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+ - Train Accuracy: 0.9842
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  - Epoch: 0
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  ## Model description
 
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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+ | 0.1797 | 0.0573 | 0.9166 | 0.9249 | 0.9208 | 0.9842 | 0 |
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  ### Framework versions
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