my_awesome_qa_cmrc2018_model

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

• Loss: 1.5397

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.8593	1.0	634	1.2136
0.6411	2.0	1268	1.3501
0.4974	3.0	1902	1.5397

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.15.0
• Tokenizers 0.13.3