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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: 0.0276
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- - Validation Loss: 0.0491
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- - Train Precision: 0.9308
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- - Train Recall: 0.9371
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- - Train F1: 0.9339
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- - Train Accuracy: 0.9871
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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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- | 0.1797 | 0.0573 | 0.9166 | 0.9249 | 0.9208 | 0.9842 | 0 |
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- | 0.0445 | 0.0501 | 0.9278 | 0.9367 | 0.9323 | 0.9870 | 1 |
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- | 0.0276 | 0.0491 | 0.9308 | 0.9371 | 0.9339 | 0.9871 | 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: 0.1833
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+ - Validation Loss: 0.0574
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+ - Train Precision: 0.9038
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+ - Train Recall: 0.9217
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+ - Train F1: 0.9127
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+ - Train Accuracy: 0.9838
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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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+ | 0.1833 | 0.0574 | 0.9038 | 0.9217 | 0.9127 | 0.9838 | 0 |
 
 
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  ### Framework versions
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@@ -1,3 +1,3 @@
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