EhDa24/MNLP_M2_mcqa_model_full_ft1
020
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MNLPM2mcqamodelfull_ft1
This model is a fine-tuned version of Qwen/Qwen3-0.6B-Base on an unknown dataset.
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: 3e-05
- trainbatchsize: 3
- evalbatchsize: 3
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 12
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 200
- num_epochs: 2
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.1