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clip-vit-base-patch32_fer2013 – AI Model by tanganke | AlphaNeural AI
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clip-vit-base-patch32_fer2013
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tensorboard
safetensors
clip_vision_model
clip-benchmark/wds_fer2013
openai/clip-vit-base-patch32
finetune
us
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Training Details
Adam Optimizer with a constant learning rate 1e-5 for 4000 steps training (batch_size=128). Only the vision encoder is fine-tuned.
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Evaluation Results
Test set accuracy:
pre-trained: 0.4125104546546936
fine-tuned: 0.7160769104957581
