metadata
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: new-QA
results: []
new-QA
This model is a fine-tuned version of hfl/chinese-pert-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5158
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| No log | 1.0 | 12 | 4.9940 |
| No log | 2.0 | 24 | 3.9417 |
| No log | 3.0 | 36 | 3.1311 |
| No log | 4.0 | 48 | 2.4780 |
| No log | 5.0 | 60 | 2.2296 |
| No log | 6.0 | 72 | 1.9246 |
| No log | 7.0 | 84 | 1.6536 |
| No log | 8.0 | 96 | 1.7087 |
| No log | 9.0 | 108 | 1.6027 |
| No log | 10.0 | 120 | 1.5158 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.10.0+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1