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sharkMeow/aoi_clip_high_resolution_concate_fusin_gpt

sourceHugging Faceupdated 2y agoView on Hugging Face
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aoicliphighresolutionconcatefusingpt

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: 4.2052
  • —Accuracy: 0.0731

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: 40
  • —evalbatchsize: 20
  • —seed: 42
  • —gradientaccumulationsteps: 5
  • —totaltrainbatch_size: 200
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 100.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
2.39239.987231103.09720.0765
2.127219.974362203.58580.0782
1.994929.961593303.60330.0785
1.95739.9486124403.72080.0769
1.931349.9358155503.81740.0759
1.925559.9229186603.91450.0748
1.917969.9101217704.03670.0746
1.913379.8972248804.06900.0740
1.910289.8844279904.12270.0737
1.908499.8715311004.20520.0734

Framework versions

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