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clip_finetune_0208_rewrite – AI Model by lukahh | AlphaNeural AI
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clip_finetune_0208_rewrite
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transformers
safetensors
clip
zero-shot-image-classification
generated_from_trainer
openai/clip-vit-base-patch32
finetune
endpoints_compatible
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clip_finetune_0208_rewrite
This model is a fine-tuned version of
openai/clip-vit-base-patch32
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2794
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: 3e-05
train_batch_size: 512
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 10.0
Training results
Framework versions
Transformers 4.48.2
Pytorch 2.1.2
Datasets 3.2.0
Tokenizers 0.21.0
