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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
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