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CLIP – AI Model by sharkMeow | AlphaNeural AI

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sharkMeow/
CLIP

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OFA-Sys/chinese-clip-vit-base-patch16

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CLIP

This model is a fine-tuned version of OFA-Sys/chinese-clip-vit-base-patch16 on an unknown dataset.

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: 0.0001
train_batch_size: 30
eval_batch_size: 20
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 120
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: 10.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.49.0
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1