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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: chinese-macbert-base-text-classification
    results: []

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