bert-base-chinese-finetuned-QA-b8-10
This model is a fine-tuned version of ckiplab/bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2089
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6954 | 1.0 | 3460 | 0.6796 |
| 0.4258 | 2.0 | 6920 | 0.7508 |
| 0.2531 | 3.0 | 10380 | 0.9322 |
| 0.1966 | 4.0 | 13840 | 1.1784 |
| 0.1188 | 5.0 | 17300 | 1.3782 |
| 0.0737 | 6.0 | 20760 | 1.7469 |
| 0.0711 | 7.0 | 24220 | 1.9550 |
| 0.0286 | 8.0 | 27680 | 2.0503 |
| 0.0196 | 9.0 | 31140 | 2.1233 |
| 0.0106 | 10.0 | 34600 | 2.2089 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.5.2
- Tokenizers 0.13.3
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Model tree for sharkMeow/bert-base-chinese-finetuned-QA-b8-10
Base model
ckiplab/bert-base-chinese