• Model creator: https://huggingface.co/cutelemonlili/
• Original model: https://huggingface.co/cutelemonlili/llama3.2_3b_NuminaMath-CoT_100k_MATH_training_Qwen2.5-32B-Instruct/

Original model description:

• llama-factory
• full
• generated_from_trainer model-index:
• name: MATH_training_Qwen2.5-32B-Instruct results: []

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MATH_training_Qwen2.5-32B-Instruct

• Loss: 0.2421

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 1e-05
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 8
• 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: 2

Training results

Framework versions

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