| base_model: NousResearch/Llama-2-7b-hf | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: llama2_instruct_generation | |
| 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. --> | |
| # llama2_instruct_generation | |
| This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co./NousResearch/Llama-2-7b-hf) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.7400 | |
| ## 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 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: constant | |
| - lr_scheduler_warmup_steps: 0.03 | |
| - training_steps: 100 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 1.9478 | 0.0 | 20 | 1.8131 | | |
| | 1.7993 | 0.0 | 40 | 1.7797 | | |
| | 1.8768 | 0.0 | 60 | 1.7643 | | |
| | 1.8495 | 0.01 | 80 | 1.7529 | | |
| | 1.8518 | 0.01 | 100 | 1.7400 | | |
| ### Framework versions | |
| - Transformers 4.35.1 | |
| - Pytorch 2.1.0+cu118 | |
| - Datasets 2.14.6 | |
| - Tokenizers 0.14.1 | |