happyhappy-jun/ours_0918_eb-alf-ex_v3_can_v1_gpt4o_success_ep5

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ours0918eb-alf-exv3canv1gpt4osuccessep5

This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct on the 0918exv3canv1gpt4ofailuresft and the 0918exv3canv1gpt4osuccesssft 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: 1e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 64
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.56.1
• —Pytorch 2.6.0+cu124
• —Datasets 4.0.0
• —Tokenizers 0.22.1