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ntu_adl_span_selection_roberta
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:
- Loss: 1.1714
- Em Accuracy: 0.7763
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:
- learning_rate: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Em Accuracy |
|---|---|---|---|---|
| 0.9879 | 1.0 | 10857 | 0.9306 | 0.7441 |
| 0.5075 | 2.0 | 21714 | 0.9758 | 0.7723 |
| 0.2514 | 3.0 | 32571 | 1.1714 | 0.7763 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
