bert-base-chinese-finetuned-question-answering-lert-base-2
This model is a fine-tuned version of hfl/chinese-lert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0948
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0241 | 0.5526 | 3000 | 0.7578 |
| 0.7656 | 1.1052 | 6000 | 0.8591 |
| 0.4865 | 1.6578 | 9000 | 1.0030 |
| 0.3713 | 2.2104 | 12000 | 1.0474 |
| 0.2271 | 2.7629 | 15000 | 1.0948 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1
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Model tree for jazzson/bert-base-chinese-finetuned-question-answering-lert-base-2
Base model
hfl/chinese-lert-base