chinese-pert-large-finetuned-med-zh
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4370
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9428 | 1.0 | 14081 | 10.3783 |
| 0.8847 | 2.0 | 28162 | 6.8072 |
| 0.8689 | 3.0 | 42243 | 1.3781 |
| 0.8592 | 4.0 | 56324 | 5.5274 |
| 0.8734 | 5.0 | 70405 | 1.4370 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.8.0+cu111
- Datasets 2.4.0
- Tokenizers 0.10.3
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