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clip-chuck – AI Model by bilbo991 | AlphaNeural AI

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bilbo991/
clip-chuck

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vision-text-dual-encoder

feature-extraction

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clip-chuck

This model is a fine-tuned version of clip-chuck on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.0009

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: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.1
Tokenizers 0.13.3