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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: FYP2022 |
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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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# FYP2022 |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.6016 |
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- Train Sparse Categorical Accuracy: 0.7503 |
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- Train Sparse Top 3 Categorical Accuracy: 0.9901 |
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- Epoch: 5 |
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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', 'clipnorm': 1.0, 'learning_rate': 1e-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 | Train Sparse Top 3 Categorical Accuracy | Epoch | |
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|:----------:|:---------------------------------:|:---------------------------------------:|:-----:| |
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| 0.9433 | 0.5975 | 0.9523 | 0 | |
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| 0.8257 | 0.6498 | 0.9704 | 1 | |
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| 0.7625 | 0.6765 | 0.9778 | 2 | |
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| 0.7062 | 0.7014 | 0.9832 | 3 | |
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| 0.6526 | 0.7263 | 0.9872 | 4 | |
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| 0.6016 | 0.7503 | 0.9901 | 5 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- TensorFlow 2.8.0 |
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- Tokenizers 0.12.1 |
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