| | ---
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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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| |
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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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| |
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| | # Lab10_VQA_fulltrain
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| |
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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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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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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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| |
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| | ### Training results
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| |
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| |
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| |
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| | ### Framework versions
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| |
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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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| | |
