muliple_choice

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

• Loss: 1.3806
• Accuracy: 0.32
• Precision: 0.3720
• Recall: 0.3290
• F1: 0.3290

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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	13	1.3806	0.32	0.3720	0.3290	0.3290

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2