my_awesome_qa_cmrc2018_model
This model is a fine-tuned version of hfl/chinese-pert-base-mrc on the cmrc2018 dataset. It achieves the following results on the evaluation set:
- Loss: 1.5397
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8593 | 1.0 | 634 | 1.2136 |
| 0.6411 | 2.0 | 1268 | 1.3501 |
| 0.4974 | 3.0 | 1902 | 1.5397 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.13.3
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