sophiargh/MNLP_M3_mcqa_model_v2

MNLP_M3_mcqa_model

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: 0.2439

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
0.2604	0.0649	1000	0.2616
0.2425	0.1299	2000	0.2582
0.2335	0.1948	3000	0.2510
0.2202	0.2598	4000	0.2430
0.2164	0.3247	5000	0.2459
0.2072	0.3897	6000	0.2439

Framework versions

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