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LexFerrinson
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FirulaiModel

Token Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
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LexFerrinson commited on
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ced17da
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1 Parent(s): 6e94fc8

Training in progress epoch 0

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  1. README.md +4 -6
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ 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: 0.0005
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- - Validation Loss: 0.0734
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  - Train Precision: 0.9062
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  - Train Recall: 1.0
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  - Train F1: 0.9508
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  - Train Accuracy: 0.9905
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- - Epoch: 2
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  ## Model description
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@@ -47,9 +47,7 @@ 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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- | 0.0617 | 0.0648 | 0.9062 | 1.0 | 0.9508 | 0.9905 | 0 |
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- | 0.0007 | 0.0716 | 0.9062 | 1.0 | 0.9508 | 0.9905 | 1 |
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- | 0.0005 | 0.0734 | 0.9062 | 1.0 | 0.9508 | 0.9905 | 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: 0.0618
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+ - Validation Loss: 0.0597
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  - Train Precision: 0.9062
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  - Train Recall: 1.0
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  - Train F1: 0.9508
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  - Train Accuracy: 0.9905
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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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+ | 0.0618 | 0.0597 | 0.9062 | 1.0 | 0.9508 | 0.9905 | 0 |
 
 
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  ### Framework versions
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