ViTGPT2_vizwiz

作者 gagan3012 · 下载 46 · 点赞 1 · 更新 2023-10-31

generated_from_trainer image-to-text

ViTGPT2_vizwiz

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss
0.1207 0.07 1000 0.0906
0.0916 0.14 2000 0.0861
0.0879 0.2 3000 0.0840
0.0856 0.27 4000 0.0822
0.0834 0.34 5000 0.0806
0.0817 0.41 6000 0.0795
0.0812 0.48 7000 0.0785
0.0808 0.55 8000 0.0779
0.0796 0.61 9000 0.0771
0.0786 0.68 10000 0.0767
0.0774 0.75 11000 0.0762
0.0772 0.82 12000 0.0758
0.0756 0.89 13000 0.0754
0.0759 0.96 14000 0.0750
0.0756 1.02 15000 0.0748
0.0726 1.09 16000 0.0745
0.0727 1.16 17000 0.0745
0.0715 1.23 18000 0.0742
0.0726 1.3 19000 0.0741
0.072 1.37 20000 0.0738
0.0723 1.43 21000 0.0735
0.0715 1.5 22000 0.0734
0.0724 1.57 23000 0.0732
0.0723 1.64 24000 0.0730
0.0718 1.71 25000 0.0729
0.07 1.78 26000 0.0728
0.0702 1.84 27000 0.0726
0.0704 1.91 28000 0.0725
0.0703 1.98 29000 0.0725
0.0686 2.05 30000 0.0726
0.0687 2.12 31000 0.0726
0.0688 2.19 32000 0.0724
0.0677 2.25 33000 0.0724
0.0665 2.32 34000 0.0725
0.0684 2.39 35000 0.0723
0.0678 2.46 36000 0.0722
0.0686 2.53 37000 0.0722
0.067 2.59 38000 0.0721
0.0669 2.66 39000 0.0721
0.0673 2.73 40000 0.0721
0.0673 2.8 41000 0.0720
0.0662 2.87 42000 0.0720
0.0681 2.94 43000 0.0719

Framework versions