cuong1692001/Terminal-scientific_computing

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Terminal-scientific_computing

This model is a fine-tuned version of Qwen/Qwen3-8B on the nemotroneasyscientificcomputing, the nemotronmediumscientificcomputing and the nemotronmixedscientific_computing datasets.

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
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —totaltrainbatch_size: 4
• —totalevalbatch_size: 32
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 2.0

Training results

Framework versions

• —Transformers 4.56.2
• —Pytorch 2.7.1+cu126
• —Datasets 4.0.0
• —Tokenizers 0.22.1