add model
Browse files- README.md +13 -3
- config.json +1 -1
- tf_model.h5 +1 -1
README.md
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---
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tags:
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- generated_from_keras_callback
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model-index:
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# Intent-Classification-Bert-Base-Cased
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This model
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer:
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- training_precision: float32
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### Training results
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### Framework versions
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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# Intent-Classification-Bert-Base-Cased
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.6110
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- Train Sparse Categorical Accuracy: 0.9836
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- Validation Loss: 0.4073
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- Validation Sparse Categorical Accuracy: 0.9583
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- Epoch: 2
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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| 2.5420 | 0.3224 | 1.9997 | 0.6806 | 0 |
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| 1.4238 | 0.8684 | 0.9106 | 0.9444 | 1 |
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| 0.6110 | 0.9836 | 0.4073 | 0.9583 | 2 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"BertForSequenceClassification"
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],
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{
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"_name_or_path": "bert-base-cased",
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"architectures": [
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"BertForSequenceClassification"
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],
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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size 433587612
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version https://git-lfs.github.com/spec/v1
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size 433587612
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