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--- |
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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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- name: bert-model-english |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# bert-model-english |
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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: 0.1408 |
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- Train Sparse Categorical Accuracy: 0.9512 |
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- Validation Loss: nan |
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- Validation Sparse Categorical Accuracy: 0.0 |
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- Epoch: 4 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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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| 0.2775 | 0.8887 | nan | 0.0 | 0 | |
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| 0.1702 | 0.9390 | nan | 0.0 | 1 | |
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| 0.1300 | 0.9555 | nan | 0.0 | 2 | |
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| 0.1346 | 0.9544 | nan | 0.0 | 3 | |
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| 0.1408 | 0.9512 | nan | 0.0 | 4 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- TensorFlow 2.7.0 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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