| library_name: transformers | |
| license: other | |
| base_model: NousResearch/Meta-Llama-3-8B-Instruct | |
| tags: | |
| - llama-factory | |
| - full | |
| - generated_from_trainer | |
| model-index: | |
| - name: sft | |
| 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. --> | |
| # sft | |
| This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) on the identity and the eightwords-20241112-alapaca datasets. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.6951 | |
| ## 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: 1e-05 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 32.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-------:|:----:|:---------------:| | |
| | 0.7669 | 14.0474 | 2000 | 1.4163 | | |
| | 0.4249 | 28.0948 | 4000 | 1.6929 | | |
| ### Framework versions | |
| - Transformers 4.44.2 | |
| - Pytorch 2.5.0+cu121 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.19.1 | |