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ntu_adl_span_selection_macbert
This model is a fine-tuned version of hfl/chinese-macbert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1049
- Em Accuracy: 0.7846
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: 4
- total_train_batch_size: 4
- 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 |
|---|---|---|---|---|
| 0.7063 | 1.0 | 5428 | 0.6971 | 0.7627 |
| 0.4457 | 2.0 | 10857 | 0.8407 | 0.7840 |
| 0.2263 | 3.0 | 16284 | 1.1049 | 0.7846 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
