neginr/multisubject_medicine_mc

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multisubjectmedicinemc

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the neginr/multisubjectmedicinemc 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: 2e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 32
• —gradientaccumulationsteps: 3
• —totaltrainbatch_size: 96
• —totalevalbatch_size: 256
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 7.0

Training results

Framework versions

• —Transformers 4.46.1
• —Pytorch 2.5.1
• —Datasets 3.1.0
• —Tokenizers 0.20.3