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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 +8 -10
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,13 +14,13 @@ 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: 0.0221
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- - Validation Loss: 0.0494
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- - Train Precision: 0.9307
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- - Train Recall: 0.9404
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- - Train F1: 0.9355
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- - Train Accuracy: 0.9873
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- - Epoch: 2
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  ## Model description
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@@ -46,9 +46,7 @@ The following hyperparameters were used during training:
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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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- | 0.0227 | 0.0494 | 0.9307 | 0.9404 | 0.9355 | 0.9873 | 0 |
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- | 0.0223 | 0.0494 | 0.9307 | 0.9404 | 0.9355 | 0.9873 | 1 |
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- | 0.0221 | 0.0494 | 0.9307 | 0.9404 | 0.9355 | 0.9873 | 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: 0.1844
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+ - Validation Loss: 0.0607
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+ - Train Precision: 0.9064
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+ - Train Recall: 0.9187
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+ - Train F1: 0.9125
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+ - Train Accuracy: 0.9833
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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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+ | 0.1844 | 0.0607 | 0.9064 | 0.9187 | 0.9125 | 0.9833 | 0 |
 
 
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  ### Framework versions
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