BERRAMOU/qwen-math-classification

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qwen-math-classification

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0000
• —F1 Macro: 1.0
• —F1 Weighted: 1.0
• —F1 Correct: 1.0
• —F1 Partiel: 1.0
• —F1 Incorrect: 1.0
• —Accuracy: 1.0

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: 8
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.16.1
• —Pytorch 2.11.0+cu128
• —Datasets 4.8.5
• —Tokenizers 0.23.1