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CLIP_ViT_L_14_PCSP2 – AI Model by hyeongjin99 | AlphaNeural AI
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CLIP_ViT_L_14_PCSP2
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transformers
safetensors
clip
zero-shot-image-classification
generated_from_trainer
openai/clip-vit-large-patch14
finetune
endpoints_compatible
us
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CLIP_ViT_L_14_PCSP2
This model is a fine-tuned version of
openai/clip-vit-large-patch14
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0312
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: 5e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 100.0
Training results
Framework versions
Transformers 4.47.0
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.21.0
