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finetuned-bert-chinese-base

This model is a fine-tuned version of bert-base-chinese on the peoples_daily_ner dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0185
  • F1: 0.9571

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: 12
  • eval_batch_size: 12
  • 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 F1
0.0494 1.0 1739 0.0250 0.9283
0.0146 2.0 3478 0.0202 0.9505
0.0051 3.0 5217 0.0185 0.9571

Framework versions

  • Transformers 4.31.0.dev0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3
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Dataset used to train r45289/finetuned-bert-chinese-base

Evaluation results