nl2bash-stackshuffle

This model is a fine-tuned version of Qwen/Qwen3-8B on the penfever/nl2bash-verified-GLM-4.6-traces-32ep-32k and the penfever/GLM-4.6-stackexchange-overflow-sandboxes-32eps-32k datasets.

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: 4e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 16
• total_train_batch_size: 16
• total_eval_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 7.0

Training results

Framework versions

• Transformers 4.56.0
• Pytorch 2.7.0+cu128
• Datasets 4.4.1
• Tokenizers 0.22.1