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LexFerrinson
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FirstModel

Token Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
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LexFerrinson commited on
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1 Parent(s): 3d13373

Training in progress epoch 1

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  1. README.md +3 -2
  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: 0.1094
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  - Validation Loss: 0.2602
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  - Train Precision: 0.6351
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  - Train Recall: 0.4246
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  - Train F1: 0.5090
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  - Train Accuracy: 0.9461
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- - Epoch: 0
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  ## Model description
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@@ -48,6 +48,7 @@ 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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  | 0.1094 | 0.2602 | 0.6351 | 0.4246 | 0.5090 | 0.9461 | 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: 0.1080
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  - Validation Loss: 0.2602
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  - Train Precision: 0.6351
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  - Train Recall: 0.4246
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  - Train F1: 0.5090
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  - Train Accuracy: 0.9461
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+ - Epoch: 1
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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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  | 0.1094 | 0.2602 | 0.6351 | 0.4246 | 0.5090 | 0.9461 | 0 |
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+ | 0.1080 | 0.2602 | 0.6351 | 0.4246 | 0.5090 | 0.9461 | 1 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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