qa_plot
This model is a fine-tuned version of hfl/chinese-bert-wwm-ext on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1978
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1866 | 1.0 | 13687 | 1.1681 |
| 0.8957 | 2.0 | 27374 | 1.1712 |
| 1.113 | 3.0 | 41061 | 1.5591 |
| 0.8321 | 4.0 | 54748 | 1.6299 |
| 0.6172 | 5.0 | 68435 | 1.6239 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Base model
hfl/chinese-bert-wwm-ext