| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: model | |
| 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. --> | |
| # model | |
| This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 5.6008 | |
| ## 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: 0.01 | |
| - 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 | |
| - training_steps: 500 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 5.8089 | 0.12 | 100 | 5.6241 | | |
| | 5.6173 | 0.25 | 200 | 5.6149 | | |
| | 5.6119 | 0.37 | 300 | 5.6090 | | |
| | 5.6128 | 0.49 | 400 | 5.6053 | | |
| | 5.5999 | 0.62 | 500 | 5.6008 | | |
| ### Framework versions | |
| - Transformers 4.36.2 | |
| - Pytorch 2.1.2+cu118 | |
| - Datasets 2.16.0 | |
| - Tokenizers 0.15.0 | |