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vilt_finetuned_200 – AI Model by Atul8827 | AlphaNeural AI
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Atul8827
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vilt_finetuned_200
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transformers
tensorboard
safetensors
vilt
visual-question-answering
generated_from_trainer
dandelin/vilt-b32-mlm
finetune
apache-2.0
endpoints_compatible
us
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vilt_finetuned_200
This model is a fine-tuned version of
dandelin/vilt-b32-mlm
on the None dataset. It achieves the following results on the evaluation set:
Loss: 9.2119
Accuracy: 0.0
F1: 0.0
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: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
4.1003
1.0
2678
9.2119
0.0
0.0
Framework versions
Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1
