tags: | |
- generated_from_trainer | |
model-index: | |
- name: Report_GPT2-finetuned-financial_data | |
results: [] | |
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# Report_GPT2-finetuned-financial_data | |
This model is a fine-tuned version of [uer/gpt2-chinese-cluecorpussmall](https://huggingface.co/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 | |