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update model card README.md

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  ---
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- license: apache-2.0
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  tags:
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- - image-to-text
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- - image-captioning
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  - generated_from_trainer
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  model-index:
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  - name: ViTGPT2_VW
@@ -14,7 +11,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # ViTGPT2_VW
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- This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the vizwiz dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0771
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@@ -36,13 +33,13 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 4
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- - eval_batch_size: 4
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  - seed: 42
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  - distributed_type: multi-GPU
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  - num_devices: 2
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- - total_train_batch_size: 8
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- - total_eval_batch_size: 8
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 1.0
 
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  ---
 
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: ViTGPT2_VW
 
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  # ViTGPT2_VW
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0771
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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  - seed: 42
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  - distributed_type: multi-GPU
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  - num_devices: 2
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+ - total_train_batch_size: 4
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+ - total_eval_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 1.0