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clip-zabir-3 – AI Model by zabir735 | AlphaNeural AI
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clip-zabir-3
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transformers
safetensors
clip
zero-shot-image-classification
generated_from_trainer
openai/clip-vit-base-patch16
finetune
endpoints_compatible
us
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clip-zabir-3
This model is a fine-tuned version of
openai/clip-vit-base-patch16
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.4039
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Framework versions
Transformers 4.38.0.dev0
Pytorch 2.2.0+cpu
Datasets 2.16.1
Tokenizers 0.15.1
