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Hellraiser24/git-base-textvqa

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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git-base-textvqa

This model is a fine-tuned version of microsoft/git-base-textvqa on the textvqa dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0472

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: 5e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 3
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.97640.25000.0499
0.05240.410000.0492
0.05250.615000.0494
0.05310.820000.0480
0.05151.025000.0477
0.04731.230000.0483
0.04791.435000.0477
0.04731.640000.0476
0.04861.845000.0472
0.04712.050000.0473
0.04542.255000.0473
0.04522.460000.0476
0.04382.665000.0475
0.04632.870000.0474
0.04493.075000.0472

Framework versions

  • —Transformers 4.28.0
  • —Pytorch 2.0.0
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3