--- library_name: peft license: other base_model: mistralai/Mistral-7B-v0.1 tags: - base_model:adapter:mistralai/Mistral-7B-v0.1 - llama-factory - lora - transformers pipeline_tag: text-generation model-index: - name: mistral7b_kto_tv results: [] --- # mistral7b_kto_tv This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the shp_kto_train 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: 1e-06 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - gradient_accumulation_steps: 8 - total_train_batch_size: 512 - total_eval_batch_size: 64 - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 100 - num_epochs: 1.0 ### Training results ### Framework versions - PEFT 0.17.1 - Transformers 4.57.1 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2