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MATH_training_split_distill_small_teacher_1_8

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

  • Loss: 0.1733

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
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
0.1616 0.1781 100 0.1824
0.2029 0.3561 200 0.1828
0.1222 0.5342 300 0.1802
0.2275 0.7122 400 0.1738
0.1335 0.8903 500 0.1700
0.0572 1.0677 600 0.1817
0.0715 1.2457 700 0.1810
0.0629 1.4238 800 0.1786
0.0649 1.6018 900 0.1747
0.0555 1.7799 1000 0.1735
0.0646 1.9579 1100 0.1731

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.7.0+cu126
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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