MNLP_M3_mcqa_model_3

This model is a fine-tuned version of Qwen/Qwen3-0.6B-Base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2545

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-05
• train_batch_size: 2
• eval_batch_size: 2
• 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
• lr_scheduler_warmup_ratio: 0.01
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.2526	0.2597	1000	0.2546
0.2401	0.5194	2000	0.2429
0.237	0.7791	3000	0.2330
0.2227	1.0387	4000	0.2550
0.1778	1.2984	5000	0.2545

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu126
• Datasets 3.2.0
• Tokenizers 0.21.0