| <!-- --- | |
| base_model: /home/ray/default/save/SFT_merge | |
| library_name: peft | |
| license: other | |
| tags: | |
| - llama-factory | |
| - lora | |
| - generated_from_trainer | |
| model-index: | |
| - name: Orca_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. --> | |
| # Orca_End | |
| This model is a fine-tuned version of [/home/ray/default/save/SFT_merge](https://huggingface.co//home/ray/default/save/SFT_merge) on the WordProblems_SFT_LLama_End dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1417 | |
| ## 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: 2 | |
| - 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: 1000 | |
| - num_epochs: 2.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:| | |
| | 0.2267 | 0.2341 | 500 | 0.2229 | | |
| | 0.177 | 0.4682 | 1000 | 0.1735 | | |
| | 0.1592 | 0.7022 | 1500 | 0.1591 | | |
| | 0.1572 | 0.9363 | 2000 | 0.1515 | | |
| | 0.142 | 1.1704 | 2500 | 0.1472 | | |
| | 0.1376 | 1.4045 | 3000 | 0.1441 | | |
| | 0.1569 | 1.6386 | 3500 | 0.1425 | | |
| | 0.1413 | 1.8727 | 4000 | 0.1417 | | |
| ### Framework versions | |
| - PEFT 0.12.0 | |
| - Transformers 4.44.2 | |
| - Pytorch 2.3.0+cu121 | |
| - Datasets 2.17.1 | |
| - Tokenizers 0.19.1 |