| library_name: peft | |
| license: llama2 | |
| base_model: TheBloke/Llama-2-13b-GPTQ | |
| tags: | |
| - base_model:adapter:TheBloke/Llama-2-13b-GPTQ | |
| - lora | |
| - transformers | |
| pipeline_tag: text-generation | |
| model-index: | |
| - name: adapter | |
| 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. --> | |
| # adapter | |
| This model is a fine-tuned version of [TheBloke/Llama-2-13b-GPTQ](https://huggingface.co/TheBloke/Llama-2-13b-GPTQ) on an unknown dataset. | |
| ## 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: 0.0003 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 16 | |
| - total_train_batch_size: 16 | |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 100 | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.17.0 | |
| - Transformers 4.56.0.dev0 | |
| - Pytorch 2.8.0.dev20250627+xpu | |
| - Datasets 4.0.0 | |
| - Tokenizers 0.21.2 |