qwen2.5_saves_7b_1_3_6

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saves_7b_1_3_6

This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct on the cam_motion_balanced_vqa_ORCHARD, the cam_motion_caption_ORCHARD and the cam_motion_imb_raw_ORCHARD 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: 2e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 24
• gradient_accumulation_steps: 2
• total_train_batch_size: 192
• total_eval_batch_size: 192
• optimizer: Use adamw_torch 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: 0.05
• num_epochs: 2

Training results

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.1.0
• Tokenizers 0.21.0