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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert-base-chinese-text-classification
    results: []

bert-base-chinese-text-classification

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

  • Loss: 0.6776
  • Accuracy: 0.7831

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
0.5085 1.0 1009 0.4733 0.8026
0.2752 2.0 2018 0.5368 0.7991
0.1936 3.0 3027 0.6776 0.7831

Framework versions

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