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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: iiif_manuscript_vit |
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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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# iiif_manuscript_vit |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5684 |
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- F1: 0.5996 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 10 |
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- mixed_precision_training: Native AMP |
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- label_smoothing_factor: 0.1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 0.5639 | 1.0 | 2269 | 0.5822 | 0.5516 | |
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| 0.5834 | 2.0 | 4538 | 0.5825 | 0.5346 | |
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| 0.5778 | 3.0 | 6807 | 0.5794 | 0.6034 | |
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| 0.5735 | 4.0 | 9076 | 0.5742 | 0.5713 | |
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| 0.5731 | 5.0 | 11345 | 0.5745 | 0.6008 | |
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| 0.5701 | 6.0 | 13614 | 0.5729 | 0.5499 | |
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| 0.5696 | 7.0 | 15883 | 0.5717 | 0.5952 | |
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| 0.5683 | 8.0 | 18152 | 0.5680 | 0.6005 | |
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| 0.5648 | 9.0 | 20421 | 0.5679 | 0.5967 | |
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| 0.564 | 10.0 | 22690 | 0.5684 | 0.5996 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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