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felixshier
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ac-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 +10 -9
  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: 0.0955
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- - Validation Loss: 0.5721
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- - Train F1: 0.8418
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- - Epoch: 4
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  ## Model description
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@@ -44,11 +44,12 @@ 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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- | 0.5128 | 0.3961 | 0.8342 | 0 |
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- | 0.3615 | 0.3747 | 0.8513 | 1 |
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- | 0.2357 | 0.5269 | 0.8243 | 2 |
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- | 0.1609 | 0.4436 | 0.8184 | 3 |
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- | 0.0955 | 0.5721 | 0.8418 | 4 |
 
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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: 0.1644
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+ - Validation Loss: 0.7249
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+ - Train F1: 0.7388
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+ - Epoch: 5
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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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+ | 0.6653 | 0.5726 | 0.7255 | 0 |
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+ | 0.5481 | 0.5550 | 0.7296 | 1 |
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+ | 0.4503 | 0.5308 | 0.7469 | 2 |
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+ | 0.3473 | 0.5723 | 0.7359 | 3 |
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+ | 0.2440 | 0.6400 | 0.7355 | 4 |
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+ | 0.1644 | 0.7249 | 0.7388 | 5 |
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  ### Framework versions
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