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Wenzhong-GPT2-110M-THUCNews
This model is a fine-tuned version of IDEA-CCNL/Wenzhong-GPT2-110M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2403
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: 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.295 | 1.0 | 2500 | 1.1898 |
| 1.1713 | 2.0 | 5000 | 1.1759 |
| 1.1218 | 3.0 | 7500 | 1.1765 |
| 1.0846 | 4.0 | 10000 | 1.1780 |
| 1.0536 | 5.0 | 12500 | 1.1840 |
| 1.0264 | 6.0 | 15000 | 1.1904 |
| 1.0025 | 7.0 | 17500 | 1.1969 |
| 0.9812 | 8.0 | 20000 | 1.2026 |
| 0.9623 | 9.0 | 22500 | 1.2091 |
| 0.9458 | 10.0 | 25000 | 1.2167 |
| 0.9312 | 11.0 | 27500 | 1.2220 |
| 0.9181 | 12.0 | 30000 | 1.2292 |
| 0.9073 | 13.0 | 32500 | 1.2349 |
| 0.8985 | 14.0 | 35000 | 1.2382 |
| 0.8921 | 15.0 | 37500 | 1.2403 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2
