chinese-bert-wwm-ext-finetuned-cola
This model is a fine-tuned version of hfl/chinese-bert-wwm-ext on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5747
- Matthews Correlation: 0.4085
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
---|---|---|---|---|
0.5824 | 1.0 | 66375 | 0.5746 | 0.4083 |
0.5824 | 2.0 | 66376 | 0.5747 | 0.4085 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.7.1
- Datasets 1.15.1
- Tokenizers 0.10.3
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