mlfoundations-cua-dev/ui-tars-1.5-7b-idm-full-sft-12-frames-videos

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ui-tars-1.5-7b-idm-full-sft-12-frames-videos

This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct on the uitarssftdata12framesvideos dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0279

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
• —trainbatchsize: 2
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 6.0

Training results

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.0.2
• —Tokenizers 0.21.1