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relevance-model
This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3134
- Train Binary Accuracy: 0.8773
- Validation Loss: 0.3633
- Validation Binary Accuracy: 0.8541
- Epoch: 2
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Binary Accuracy | Validation Loss | Validation Binary Accuracy | Epoch |
|---|---|---|---|---|
| 0.3980 | 0.8289 | 0.3739 | 0.8541 | 0 |
| 0.3446 | 0.8606 | 0.3614 | 0.8505 | 1 |
| 0.3134 | 0.8773 | 0.3633 | 0.8541 | 2 |
Framework versions
- Transformers 4.16.0
- TensorFlow 2.7.0
- Datasets 1.18.1
- Tokenizers 0.11.0
