hw1_qa_model_chinese-bert-wwm
This model is a fine-tuned version of hfl/chinese-bert-wwm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9196
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2606 | 1.0 | 10857 | 1.0578 |
| 0.8212 | 2.0 | 21714 | 1.2162 |
| 0.4202 | 3.0 | 32571 | 1.5152 |
| 0.2124 | 4.0 | 43428 | 1.6205 |
| 0.0902 | 5.0 | 54285 | 1.9196 |
Framework versions
- Transformers 4.54.1
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Downloads last month
- -
Model tree for soaring0616/hw1_qa_model_chinese-bert-wwm
Base model
hfl/chinese-bert-wwm