question_generation_model

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the questions_finetune_train dataset. It achieves the following results on the evaluation set:

• Loss: 0.5050

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: 0.0005
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.4919	1.3333	100	0.5065
0.3998	2.6667	200	0.5052

Framework versions

• PEFT 0.17.1
• Transformers 4.57.1
• Pytorch 2.9.1+cu128
• Datasets 2.16.1
• Tokenizers 0.22.1