bert-base-chinese-finetuned-qqp-FHTM-5x

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

• Loss: 0.3385688364505768
• Accuracy: 0.8357142857142857
• F1: 0.8244274809160306

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	30	0.247902	0.892857	0.888889
No log	2.0	60	0.205925	0.907143	0.900763
No log	3.0	90	0.137872	0.950000	0.952381
No log	4.0	120	0.108262	0.957143	0.958904
No log	5.0	150	0.103690	0.957143	0.958904

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1
• Datasets 2.9.0
• Tokenizers 0.13.0.dev0