pert-qa

This model is a fine-tuned version of hfl/chinese-pert-large on the cmrc2018 dataset. It achieves the following results on the evaluation set:

• Loss: 0.6557

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: 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.0626	1.0	1200	0.6454
0.5677	2.0	2400	0.6557

Framework versions

• Transformers 4.27.3
• Pytorch 1.12.1
• Datasets 2.10.1
• Tokenizers 0.13.2