Teacher_forget_RL_data_QwQ-Preview

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

  • Loss: 0.3434

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
  • num_devices: 4
  • total_train_batch_size: 4
  • total_eval_batch_size: 4
  • 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: 3

Training results

Training Loss Epoch Step Validation Loss
0.373 0.1650 100 0.3495
0.2525 0.3300 200 0.3356
0.307 0.4950 300 0.3277
0.389 0.6601 400 0.3228
0.2299 0.8251 500 0.3177
0.2811 0.9901 600 0.3139
0.0677 1.1551 700 0.3337
0.1073 1.3201 800 0.3280
0.1223 1.4851 900 0.3278
0.1587 1.6502 1000 0.3272
0.1383 1.8152 1100 0.3256
0.1098 1.9802 1200 0.3245
0.0971 2.1452 1300 0.3430
0.0713 2.3102 1400 0.3417
0.0695 2.4752 1500 0.3426
0.0866 2.6403 1600 0.3442
0.0703 2.8053 1700 0.3434
0.0356 2.9703 1800 0.3435

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.6.0+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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