| | --- |
| | license: mit |
| | base_model: openai-community/gpt2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: financeLM_outputpath |
| | results: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # financeLM_outputpath |
| | |
| | This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.3037 |
| | |
| | ## 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: 0.0002 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: constant |
| | - lr_scheduler_warmup_ratio: 0.03 |
| | - num_epochs: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 1.0803 | 1.0 | 7031 | 1.0331 | |
| | | 0.8 | 2.0 | 14062 | 1.1243 | |
| | | 0.6646 | 3.0 | 21093 | 1.1960 | |
| | | 0.5747 | 4.0 | 28125 | 1.2458 | |
| | | 0.5094 | 5.0 | 35155 | 1.3037 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.35.0 |
| | - Pytorch 2.1.2+cu121 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| | |
