| | --- |
| | license: apache-2.0 |
| | base_model: dandelin/vilt-b32-mlm |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - vqa |
| | model-index: |
| | - name: vilt_finetuned_200 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # vilt_finetuned_200 |
| |
|
| | This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on the vqa dataset. |
| |
|
| | ## 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: 4 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 20 |
| |
|
| | ### Training results |
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|
| | ### Framework versions |
| |
|
| | - Transformers 4.39.3 |
| | - Pytorch 1.13.0+cu117 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
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