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qwen3vl_8b_v19

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qwen3_vl
llama-factory
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qwen3vl_8b_full_sft_data_v19_h100_fsdp_ep1

This model is a fine-tuned version of /mnt/amlfs-02/shared/datasets/hf_datasets/saves/qwen3vl-8b/full/Qwen3-VL-8B-Instruct on the groot_system2/sft_v19.json 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-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 128
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 512
  • total_eval_batch_size: 1024
  • 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: 1.0

Training results

Framework versions

  • Transformers 4.57.1
  • Pytorch 2.8.0a0+5228986c39.nv25.06
  • Datasets 4.0.0
  • Tokenizers 0.22.2
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