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clip-roberta-finetuned – AI Model by ydshieh | AlphaNeural AI

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ydshieh/
clip-roberta-finetuned

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vision-text-dual-encoder

feature-extraction

generated_from_trainer

ydshieh/coco_dataset_script

endpoints_compatible

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clip-roberta-finetuned

This model was trained from scratch on the ydshieh/coco_dataset_script 2017 dataset. It achieves the following results on the evaluation set:

Loss: 1.3862

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: 4
eval_batch_size: 4
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 4.37.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0