bert-base-chinese-finetuned-question-answering-lert-base-2-exactmatch

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

• Loss: 1.3554
• Exact Match: 0.7989

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match
0.3058	0.5526	3000	1.3943	0.7198
0.8026	1.1052	6000	1.2028	0.7644
0.4282	1.6578	9000	1.1459	0.7813
0.3117	2.2104	12000	1.4552	0.7933
0.1929	2.7629	15000	1.3554	0.7989

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1