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---
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license: apache-2.0
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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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- coco_vqa_small_dataset
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model-index:
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- name: Lab10_VQA_fulltrain
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Lab10_VQA_fulltrain
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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 coco_vqa_small_dataset dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 32
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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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- lr_scheduler_type: linear
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- num_epochs: 20
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### Training results
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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