radm_Qwen2.5-32B-simpo-LoRA

This model is a fine-tuned version of ../models/Qwen2.5-32B-Instruct on the custom dataset.

Full model (FP8): radm/Qwen2.5-32B-simpo-FP8

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 7e-07
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 16
• num_epochs: 1.0

Training results

Framework versions

• PEFT 0.11.1
• Transformers 4.43.4
• Pytorch 2.4.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1