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chinese-roberta-wwm-ext_lr_3e-05_batch_8_epoch_1_model

This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1445
  • Accuracy: 0.9575

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: 3e-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: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2337 0.3682 500 0.1703 0.9538
0.1107 0.7364 1000 0.1445 0.9575

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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