| | --- |
| | library_name: transformers |
| | base_model: Qwen/Qwen3-0.6B-Base |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: MNLP_M2_rag_model |
| | 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. --> |
| |
|
| | # MNLP_M2_rag_model |
| | |
| | This model is a fine-tuned version of [Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base) |
| | |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 32 |
| | - optimizer: Use 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_ratio: 0.1 |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 3 |
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.52.3 |
| | - Pytorch 2.7.0 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
