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vilt_finetuned_200

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Transformers
PyTorch
vilt
Generated from Trainer
Inference Endpoints
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End of training

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Files changed (2) hide show
  1. README.md +3 -3
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -4,7 +4,7 @@ base_model: dandelin/vilt-b32-mlm
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  tags:
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  - generated_from_trainer
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  datasets:
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- - vqa
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  model-index:
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  - name: vilt_finetuned_200
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  results: []
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # vilt_finetuned_200
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- This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on the vqa dataset.
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  ## Model description
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@@ -35,7 +35,7 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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  tags:
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  - generated_from_trainer
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  datasets:
7
+ - gqa
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  model-index:
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  - name: vilt_finetuned_200
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  results: []
 
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  # vilt_finetuned_200
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+ This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on the gqa dataset.
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 451687642
 
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  size 451687642