CoolFace
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sharkMeow/aoi_clip_high_resolution_text_only_gpt_froce_same_aoi_256_256

sourceHugging Faceupdated 2y agoView on Hugging Face
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aoicliphighresolutiontextonlygptfrocesameaoi256_256

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: 3.3613
  • —Accuracy: 0.1950

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
1.18159.91354302.74550.2067
0.848519.82718603.21710.1998
0.70229.740612903.33050.1984
0.6539.654217203.35620.1981
0.622249.567721503.37460.1976
0.598559.481325803.37180.1967
0.594969.394830103.36360.1960
0.588579.308434403.37240.1952
0.581789.221938703.37040.1947
0.577199.135443003.36130.1949

Framework versions

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