| # outputs/lora-out | |
| This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.co/openlm-research/open_llama_3b_v2) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2601 | |
| ## 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: 2 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 20 | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:| | |
| | 1.034 | 0.0006 | 1 | 1.0952 | | |
| | 0.2894 | 0.2505 | 393 | 0.3186 | | |
| | 0.2138 | 0.5010 | 786 | 0.2808 | | |
| | 0.2722 | 0.7514 | 1179 | 0.2601 | | |
| ### Framework versions | |
| - PEFT 0.11.1 | |
| - Transformers 4.41.1 | |
| - Pytorch 2.1.2+cu118 | |
| - Datasets 2.19.1 | |
| - Tokenizers 0.19.1 |