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sharkMeow/aoi_clip_high_resolution_cross_attention_fusin

sourceHugging Faceupdated 2y agoView on Hugging Face
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aoicliphighresolutioncrossattentionfusin

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: 4.0266
  • —Accuracy: 0.0266

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: 40
  • —seed: 42
  • —gradientaccumulationsteps: 5
  • —totaltrainbatch_size: 200
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 60.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
2.48565.992318663.68720.0237
2.476711.984637323.68740.0244
2.478417.976955983.68760.0247
2.472823.969274643.68780.0251
2.47329.961593303.68750.0255
2.462135.9538111963.73710.0266
2.386841.9461130623.82080.0269
2.329347.9383149283.88050.0268
2.291753.9306167943.97130.0267
2.278759.9229186604.02660.0266

Framework versions

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