| <!-- --- | |
| base_model: /teamspace/studios/this_studio/save/SFT_merge | |
| library_name: peft | |
| license: other | |
| tags: | |
| - llama-factory | |
| - lora | |
| - unsloth | |
| - generated_from_trainer | |
| model-index: | |
| - name: LLama_End | |
| 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. --> | |
| # LLama_End | |
| This model is a fine-tuned version of [/teamspace/studios/this_studio/save/SFT_merge](https://huggingface.co//teamspace/studios/this_studio/save/SFT_merge) on the WordProblems_SFT_LLama_End dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0769 | |
| ## 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: 5e-05 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 4 | |
| - 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: cosine | |
| - lr_scheduler_warmup_steps: 500 | |
| - num_epochs: 2.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:| | |
| | 0.1013 | 0.2722 | 500 | 0.0977 | | |
| | 0.0851 | 0.5444 | 1000 | 0.0865 | | |
| | 0.0819 | 0.8167 | 1500 | 0.0826 | | |
| | 0.0753 | 1.0889 | 2000 | 0.0804 | | |
| | 0.0737 | 1.3611 | 2500 | 0.0786 | | |
| | 0.0692 | 1.6333 | 3000 | 0.0773 | | |
| | 0.0671 | 1.9055 | 3500 | 0.0769 | | |
| ### Framework versions | |
| - PEFT 0.12.0 | |
| - Transformers 4.43.4 | |
| - Pytorch 2.2.1+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 |