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metadata
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-Math-7B-Instruct
tags:
  - llama-factory
  - generated_from_trainer
model-index:
  - name: prm_qwen25_math_version3_subsample_hf
    results: []

prm_qwen25_math_version3_subsample_hf

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

  • Loss: 0.1641

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