Light-R1

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B on the light_r1_3k dataset.

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: 2
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.01
• num_epochs: 10.0

Training results

Framework versions

• Transformers 4.45.2
• Pytorch 2.6.0+cu124
• Datasets 3.1.0
• Tokenizers 0.20.3