readme: ---
  license: apache-2.0
  tags:
  - image-classification
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: convnext_manuscript_iiif
    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. -->
  
  # convnext_manuscript_iiif
  
  This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on the davanstrien/iiif_manuscripts_label_ge_50 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.5856
  - F1: 0.0037
  
  ## 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: 0.0002
  - train_batch_size: 64
  - eval_batch_size: 64
  - seed: 1337
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 30.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | F1     |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 6.5753        | 1.0   | 2038  | 6.4121          | 0.0016 |
  | 5.9865        | 2.0   | 4076  | 5.9466          | 0.0021 |
  | 5.6521        | 3.0   | 6114  | 5.7645          | 0.0029 |
  | 5.3123        | 4.0   | 8152  | 5.6890          | 0.0033 |
  | 5.0337        | 5.0   | 10190 | 5.6692          | 0.0034 |
  | 4.743         | 6.0   | 12228 | 5.5856          | 0.0037 |
  | 4.4387        | 7.0   | 14266 | 5.5969          | 0.0042 |
  | 4.1422        | 8.0   | 16304 | 5.6711          | 0.0043 |
  | 3.8372        | 9.0   | 18342 | 5.6761          | 0.0044 |
  | 3.5244        | 10.0  | 20380 | 5.8469          | 0.0042 |
  | 3.2321        | 11.0  | 22418 | 5.8774          | 0.0045 |
  | 2.9004        | 12.0  | 24456 | 6.1186          | 0.0047 |
  | 2.5937        | 13.0  | 26494 | 6.2398          | 0.0046 |
  | 2.2983        | 14.0  | 28532 | 6.3732          | 0.0049 |
  | 2.0611        | 15.0  | 30570 | 6.5024          | 0.0045 |
  | 1.8153        | 16.0  | 32608 | 6.6585          | 0.0047 |
  | 1.6075        | 17.0  | 34646 | 6.8333          | 0.0043 |
  | 1.4342        | 18.0  | 36684 | 6.9529          | 0.0044 |
  | 1.2614        | 19.0  | 38722 | 7.1129          | 0.0046 |
  | 1.1463        | 20.0  | 40760 | 7.1977          | 0.0039 |
  | 1.0387        | 21.0  | 42798 | 7.2700          | 0.0044 |
  | 0.9635        | 22.0  | 44836 | 7.3375          | 0.0040 |
  | 0.8872        | 23.0  | 46874 | 7.4003          | 0.0039 |
  | 0.8156        | 24.0  | 48912 | 7.4884          | 0.0039 |
  | 0.7544        | 25.0  | 50950 | 7.4764          | 0.0039 |
  | 0.6893        | 26.0  | 52988 | 7.5153          | 0.0042 |
  | 0.6767        | 27.0  | 55026 | 7.5427          | 0.0043 |
  | 0.6098        | 28.0  | 57064 | 7.5547          | 0.0042 |
  | 0.5871        | 29.0  | 59102 | 7.5533          | 0.0041 |
  | 0.5696        | 30.0  | 61140 | 7.5595          | 0.0041 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0.dev0
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.3
  - Tokenizers 0.11.6
  