v61 v29 Public091 LoRA R64 Lr5e5 Ep1

--- library_name: peft license: other base_model: lldois/v29_v19_user_world_guard_lr8e7_ep018 tags: - base_model:adapter:lldois/v29_v19_user_world_guard_lr8e7_ep018 - llama-factory - lora - transformers pipeline_tag: text-generation model-index: - name: v61_v29_public091_lora_r64_lr5e5_ep1 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. --> # v61_v29_public091_lora_r64_lr5e5_ep1 This model is a fine-tuned version of [lldois/v29_v19_user_world_guard_lr8e7_ep018](https://huggingface.co/lldois/v29_v19_user_world_guard_lr8e7_ep018) on the exp_v49_public_091_exact 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: 5e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 202607211 - gradient_accumulation_steps: 4 - total_train_batch_size: 4 - optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.03 - num_epochs: 1.0 ### Training results ### Framework versions - PEFT 0.18.1 - Transformers 5.6.0 - Pytorch 2.7.1+cu126 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 0 downloads · 0 likes · Pipeline text-generation · Library peft · Repo lldois/v61_v29_public091_lora_r64_lr5e5_ep1