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chinese-bert-wwm-chinese_bert_wwm1
This model is a fine-tuned version of hfl/chinese-bert-wwm on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0009
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: 30.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 71 | 0.5750 |
No log | 2.0 | 142 | 0.0617 |
No log | 3.0 | 213 | 0.0109 |
No log | 4.0 | 284 | 0.0042 |
No log | 5.0 | 355 | 0.0024 |
No log | 6.0 | 426 | 0.0017 |
No log | 7.0 | 497 | 0.0012 |
0.5341 | 8.0 | 568 | 0.0009 |
0.5341 | 9.0 | 639 | 0.0009 |
0.5341 | 10.0 | 710 | 0.0011 |
0.5341 | 11.0 | 781 | 0.0013 |
0.5341 | 12.0 | 852 | 0.0012 |
0.5341 | 13.0 | 923 | 0.0010 |
0.5341 | 14.0 | 994 | 0.0010 |
0.0041 | 15.0 | 1065 | 0.0011 |
0.0041 | 16.0 | 1136 | 0.0009 |
0.0041 | 17.0 | 1207 | 0.0008 |
0.0041 | 18.0 | 1278 | 0.0009 |
0.0041 | 19.0 | 1349 | 0.0008 |
0.0041 | 20.0 | 1420 | 0.0008 |
0.0041 | 21.0 | 1491 | 0.0009 |
0.0019 | 22.0 | 1562 | 0.0009 |
0.0019 | 23.0 | 1633 | 0.0010 |
0.0019 | 24.0 | 1704 | 0.0009 |
0.0019 | 25.0 | 1775 | 0.0009 |
0.0019 | 26.0 | 1846 | 0.0008 |
0.0019 | 27.0 | 1917 | 0.0009 |
0.0019 | 28.0 | 1988 | 0.0009 |
0.0013 | 29.0 | 2059 | 0.0009 |
0.0013 | 30.0 | 2130 | 0.0009 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.1
- Datasets 1.13.3
- Tokenizers 0.10.3