mehuldamani/orm-big-math-digits-v2-correctness

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orm-big-math-digits-v2-correctness

This model is a fine-tuned version of Qwen/Qwen2.5-7B on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4828
• —Accuracy: 0.768

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-06
• —trainbatchsize: 1
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 64
• —totaltrainbatch_size: 64
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.05
• —training_steps: 300

Training results

Framework versions

• —Transformers 4.48.3
• —Pytorch 2.5.1+cu124
• —Datasets 3.2.0
• —Tokenizers 0.21.0