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sharkMeow/aoi_clip_high_resolution_crossAttenttionFusion_gpt_froce_same_aoi_256_256

sourceHugging Faceupdated 2y agoView on Hugging Face
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aoicliphighresolutioncrossAttenttionFusiongptfrocesameaoi256256

This model is a fine-tuned version of OFA-Sys/chinese-clip-vit-base-patch16 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 8.0173
  • —Accuracy: 0.0640

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: 25
  • —evalbatchsize: 20
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 200
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 200.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
1.14519.94589203.42010.0648
0.811339.891618404.79450.0656
0.667259.837427605.84940.0621
0.597479.783236806.68270.0609
0.555799.729046007.22860.0623
0.5305119.674855208.14060.0628
0.5093139.620664407.87700.0635
0.4975159.566473607.95400.0631
0.4903179.512282807.83210.0632
0.481199.458092008.01730.0636

Framework versions

  • —Transformers 4.42.3
  • —Pytorch 2.3.1+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1