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clip-roberta-finetuned_GQA – AI Model by wooseoko | AlphaNeural AI
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clip-roberta-finetuned_GQA
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transformers
pytorch
vision-text-dual-encoder
feature-extraction
generated_from_trainer
endpoints_compatible
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clip-roberta-finetuned_GQA
This model is a fine-tuned version of
./clip-roberta
on the ./GQA_script.py relation dataset. It achieves the following results on the evaluation set:
Loss: 2.3532
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: 32
eval_batch_size: 32
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 4.26.1
Pytorch 1.11.0
Datasets 2.10.1
Tokenizers 0.13.2
