<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
Report_GPT2-finetuned-financial_data
This model is a fine-tuned version of uer/gpt2-chinese-cluecorpussmall on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6619
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7034 | 1.0 | 3818 | 1.6879 |
| 1.6278 | 2.0 | 7636 | 1.6694 |
| 1.596 | 3.0 | 11454 | 1.6619 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.12.1+cu113
- Datasets 2.9.0
- Tokenizers 0.13.2
