Model save
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README.md
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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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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 None dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Framework versions
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- Transformers 4.37.0
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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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metrics:
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- accuracy
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- f1
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 21.0818
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- Accuracy: 0.02
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- F1: 0.02
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:----:|
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| 4.1329 | 1.0 | 2678 | 9.9163 | 0.0 | 0.0 |
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| 3.7352 | 2.0 | 5356 | 10.4438 | 0.0 | 0.0 |
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| 2.1774 | 3.0 | 8034 | 11.5371 | 0.0 | 0.0 |
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| 1.1338 | 4.0 | 10712 | 12.9686 | 0.0 | 0.0 |
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| 0.6816 | 5.0 | 13390 | 15.4396 | 0.0 | 0.0 |
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| 0.3725 | 6.0 | 16068 | 17.1792 | 0.01 | 0.01 |
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| 0.1133 | 7.0 | 18746 | 18.8999 | 0.01 | 0.01 |
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| 0.0494 | 8.0 | 21424 | 19.9610 | 0.01 | 0.01 |
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| 0.0905 | 9.0 | 24102 | 20.6784 | 0.02 | 0.02 |
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| 0.0749 | 10.0 | 26780 | 21.0818 | 0.02 | 0.02 |
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### Framework versions
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- Transformers 4.37.0
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model.safetensors
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runs/Feb27_05-48-18_92d58de29392/events.out.tfevents.1709012900.92d58de29392.27.0
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