prm_qwen25_math_version3_subsample_hf

This model is a fine-tuned version of Qwen/Qwen2.5-Math-7B-Instruct on the prm_conversations_prm_version3_math+webinstructsub-mcq+webinstructsub-oe+apps+gsm_mix_ref_subsample_hf dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1639

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
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
0.2317 0.1127 500 0.2231
0.2003 0.2253 1000 0.2006
0.166 0.3380 1500 0.1876
0.1755 0.4506 2000 0.1788
0.1612 0.5633 2500 0.1725
0.1607 0.6759 3000 0.1680
0.1655 0.7886 3500 0.1653
0.1486 0.9012 4000 0.1641

Framework versions

  • Transformers 4.45.0
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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