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bert-base-chinese-complaint-128

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

  • Loss: 1.3004

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: 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: 16

Training results

Training Loss Epoch Step Validation Loss
3.3735 1.0 1250 2.4628
2.2412 2.0 2500 2.0378
1.9251 3.0 3750 1.8368
1.7407 4.0 5000 1.6972
1.6137 5.0 6250 1.5937
1.5365 6.0 7500 1.5315
1.4662 7.0 8750 1.4921
1.3985 8.0 10000 1.4517
1.3509 9.0 11250 1.4308
1.3047 10.0 12500 1.3906
1.2745 11.0 13750 1.3467
1.2377 12.0 15000 1.3306
1.2139 13.0 16250 1.3205
1.2027 14.0 17500 1.3098
1.1722 15.0 18750 1.2845
1.1697 16.0 20000 1.3004

Framework versions

  • Transformers 4.8.2
  • Pytorch 1.7.1
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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