qwen35-397b-lora-sft-amdpilot-v5

This model is a fine-tuned version of Qwen/Qwen3.5-397B-A17B on the amdpilot_v5 dataset. It achieves the following results on the evaluation set:

• Loss: 0.1884

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: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• total_eval_batch_size: 8
• optimizer: Use 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_steps: 0.05
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.1182	3.3333	10	0.2282
0.1273	6.6667	20	0.1938
0.0962	10.0	30	0.1884

Framework versions

• PEFT 0.18.1
• Transformers 5.2.0
• Pytorch 2.9.1+rocm7.2.0.git7e1940d4
• Datasets 4.0.0
• Tokenizers 0.22.2