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cutelemonlili/Qwen2.5-7B-Instruct_MATH_training_response_gpt-4o-mini_only_right

sourceHugging Faceotherupdated 2y agoView on Hugging Face
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Model Card

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MATHtrainingresponsegpt-4o-minionly_right

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the MATHtrainingresponsegpt-4o-minionly_right dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1116

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
  • —trainbatchsize: 2
  • —evalbatchsize: 1
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 4
  • —totaltrainbatch_size: 8
  • —totalevalbatch_size: 4
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —num_epochs: 2

Training results

Training LossEpochStepValidation Loss
0.14460.29072000.1388
0.13590.58144000.1254
0.11470.87216000.1165
0.04721.16288000.1211
0.03981.453510000.1160
0.04831.744212000.1121

Framework versions

  • —Transformers 4.46.1
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.1.0
  • —Tokenizers 0.20.3