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bert-base-chinese-finetuned-amazon_zh_20000

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

  • Loss: 1.1683
  • Accuracy: 0.5224
  • F1: 0.5194

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
1.2051 1.0 2500 1.1717 0.506 0.4847
1.0035 2.0 5000 1.1683 0.5224 0.5194

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.9.1
  • Datasets 1.18.3
  • Tokenizers 0.10.3
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