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athrado
/
bert-finetuned-nli

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
Model card Files Community
athrado commited on
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1 Parent(s): bcafda2

Training in progress epoch 4

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  1. README.md +5 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,11 +14,11 @@ 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: 0.1171
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- - Train Accuracy: 0.9610
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- - Validation Loss: 0.5200
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  - Validation Accuracy: 0.8424
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- - Epoch: 3
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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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  | 0.3253 | 0.8797 | 0.3890 | 0.8404 | 1 |
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  | 0.2070 | 0.9290 | 0.4210 | 0.8303 | 2 |
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  | 0.1171 | 0.9610 | 0.5200 | 0.8424 | 3 |
 
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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: 0.0671
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+ - Train Accuracy: 0.9806
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+ - Validation Loss: 0.5285
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  - Validation Accuracy: 0.8424
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+ - Epoch: 4
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  ## Model description
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  | 0.3253 | 0.8797 | 0.3890 | 0.8404 | 1 |
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  | 0.2070 | 0.9290 | 0.4210 | 0.8303 | 2 |
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  | 0.1171 | 0.9610 | 0.5200 | 0.8424 | 3 |
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+ | 0.0671 | 0.9806 | 0.5285 | 0.8424 | 4 |
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  ### Framework versions
tf_model.h5 CHANGED
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