Qwen3-4B-Concise-SimPO-StrategyA

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concise_phase1_short_qwen3_4b_config1_12345_short

This model is a fine-tuned version of Qwen/Qwen3-4B on the dpo_concise_phase1_short_12345_short 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: 1e-06
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• total_eval_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 2.0

Training results

Framework versions

• Transformers 4.52.4
• Pytorch 2.7.1
• Datasets 3.6.0
• Tokenizers 0.21.1