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--- |
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license: apache-2.0 |
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base_model: dandelin/vilt-b32-finetuned-vqa |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ViLT_Binary_Classifier_Abstract_Scenes |
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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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# ViLT_Binary_Classifier_Abstract_Scenes |
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This model is a fine-tuned version of [dandelin/vilt-b32-finetuned-vqa](https://huggingface.co/dandelin/vilt-b32-finetuned-vqa) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3099 |
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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: 0.0005 |
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- train_batch_size: 8 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4285 | 0.08 | 100 | 1.4508 | |
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| 1.4158 | 0.17 | 200 | 1.6115 | |
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| 1.4004 | 0.25 | 300 | 1.3504 | |
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| 1.3907 | 0.34 | 400 | 1.3577 | |
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| 1.3568 | 0.42 | 500 | 1.3397 | |
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| 1.3562 | 0.5 | 600 | 1.3216 | |
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| 1.3566 | 0.59 | 700 | 1.3190 | |
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| 1.3255 | 0.67 | 800 | 1.3227 | |
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| 1.341 | 0.76 | 900 | 1.3411 | |
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| 1.3654 | 0.84 | 1000 | 1.3144 | |
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| 1.3343 | 0.92 | 1100 | 1.3099 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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