tokhey/question_generation_qwen_4B_model
06
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questiongenerationqwen4Bmodel
This model is a fine-tuned version of Qwen/Qwen3-4B-Instruct-2507 on the questionsfinetunetrain dataset. It achieves the following results on the evaluation set:
- Loss: 2.5246
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: 5e-05
- trainbatchsize: 1
- evalbatchsize: 1
- seed: 42
- gradientaccumulationsteps: 16
- totaltrainbatch_size: 16
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_steps: 0.1
- num_epochs: 1.0
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
