haohw/qwen3-vl-8b-sft-failurev4

sft-failurev4-proj

This model is a fine-tuned version of Qwen/Qwen3-VL-8B-Instruct on the failure_v4 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0422

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-05
• train_batch_size: 8
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 64
• total_eval_batch_size: 8
• 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_steps: 0.1
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.0656	0.7491	200	0.0896
0.0576	1.4981	400	0.0647
0.0418	2.2472	600	0.0554
0.0362	2.9963	800	0.0441
0.0263	3.7453	1000	0.0422
0.0178	4.4944	1200	0.0534

Framework versions

• Transformers 5.0.0
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2