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README.md
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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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