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felixshier
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occ-01-bert-finetuned

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
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Upload TFBertForSequenceClassification

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  1. README.md +9 -10
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-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: 0.0665
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- - Validation Loss: 0.5903
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- - Train F1: 0.8329
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- - Epoch: 5
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  ## Model description
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@@ -44,12 +44,11 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train F1 | Epoch |
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  |:----------:|:---------------:|:--------:|:-----:|
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- | 0.6321 | 0.4654 | 0.8258 | 0 |
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- | 0.4053 | 0.4943 | 0.8241 | 1 |
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- | 0.2884 | 0.4143 | 0.8596 | 2 |
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- | 0.1851 | 0.4852 | 0.8469 | 3 |
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- | 0.1185 | 0.5479 | 0.8424 | 4 |
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- | 0.0665 | 0.5903 | 0.8329 | 5 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-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: 0.0759
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+ - Validation Loss: 0.7153
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+ - Train F1: 0.8039
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+ - Epoch: 4
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  ## Model description
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  | Train Loss | Validation Loss | Train F1 | Epoch |
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  |:----------:|:---------------:|:--------:|:-----:|
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+ | 0.6531 | 0.6153 | 0.7528 | 0 |
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+ | 0.4039 | 0.4978 | 0.8157 | 1 |
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+ | 0.2514 | 0.6096 | 0.7968 | 2 |
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+ | 0.1387 | 0.6281 | 0.8164 | 3 |
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+ | 0.0759 | 0.7153 | 0.8039 | 4 |
 
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  ### Framework versions
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