Upload fine-tuned model (merged)(lora) based on Qwen/Qwen3-0.6B from run 20250501_213239
5c6517e
verified
| library_name: peft | |
| license: other | |
| base_model: Qwen/Qwen3-0.6B | |
| tags: | |
| - llama-factory | |
| - lora | |
| - generated_from_trainer | |
| model-index: | |
| - name: 1_final_model_finetuned | |
| 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. --> | |
| # 1_final_model_finetuned | |
| This model is a fine-tuned version of [C:\Users\Shadow\Desktop\LLaMA-Factory\finetuning_runs\20250501_213239\0_base_model_modified](https://huggingface.co/C:\Users\Shadow\Desktop\LLaMA-Factory\finetuning_runs\20250501_213239\0_base_model_modified) on the pathfinderrr_custom 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: 2 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 8 | |
| - 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 | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.15.1 | |
| - Transformers 4.51.3 | |
| - Pytorch 2.5.1+cu118 | |
| - Datasets 3.5.0 | |
| - Tokenizers 0.21.1 | |
| **Note:** This model is the result of merging a LoRA adapter with the base model. |