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sharkMeow/aoi_clip_high_resolution_crossAttenttionFusion_fusin_new_sampler

sourceHugging Faceupdated 2y agoView on Hugging Face
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aoicliphighresolutioncrossAttenttionFusionfusinnew_sampler

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: 4.5135
  • —Accuracy: 0.0583

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: 100.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
2.1569.988031102.99570.0492
2.141119.975962203.05360.0537
1.988829.963993303.33240.0567
1.875939.9518124403.60920.0571
1.812949.9398155503.80910.0575
1.770859.9277186603.98980.0578
1.741369.9157217704.27350.0579
1.717279.9037248804.34340.0580
1.705689.8916279904.51200.0581
1.701899.8796311004.51350.0582

Framework versions

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