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clip-roberta-finetuned – AI Model by allensun123 | AlphaNeural AI
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clip-roberta-finetuned
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transformers
tensorboard
safetensors
vision-text-dual-encoder
feature-extraction
generated_from_trainer
ydshieh/coco_dataset_script
endpoints_compatible
us
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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: 1.6970
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: 64
eval_batch_size: 64
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 4.38.0
Pytorch 2.1.2
Datasets 2.14.7
Tokenizers 0.15.2
