MNLP_M2_rag_model

This model is a fine-tuned version of 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