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Roberta-wwm-ext-large-qa
This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext-large on the cmrc2018 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1416
 
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: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 1
 
Training results
| Training Loss | Epoch | Step | Validation Loss | 
|---|---|---|---|
| 1.3584 | 1.0 | 1200 | 1.1416 | 
Framework versions
- Transformers 4.23.1
 - Pytorch 1.10.0+cu113
 - Datasets 2.6.1
 - Tokenizers 0.13.1