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sharkMeow/aoi_clip_high_resolution_concate_fusin

sourceHugging Faceupdated 2y agoView on Hugging Face
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aoicliphighresolutionconcate_fusin

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: 4.6300
  • Accuracy: 0.0309

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
2.44345.992318663.70350.0316
2.268911.984637323.92820.0312
2.131117.976955984.18900.0324
2.047323.969274644.22180.0317
2.006529.961593304.19680.0317
1.981635.9538111964.32770.0311
1.959341.9461130624.44000.0312
1.944847.9383149284.48960.0311
1.935253.9306167944.57100.0311
1.934259.9229186604.63000.0310

Framework versions

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