chinese-macbert-base-text-classification

This model is a fine-tuned version of hfl/chinese-macbert-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6609
• Accuracy: 0.7844

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	Accuracy
0.5794	1.0	1009	0.4825	0.7900
0.3729	2.0	2018	0.5239	0.8043
0.3049	3.0	3027	0.6609	0.7844

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3