convnext_manuscript_iiif
This model is a fine-tuned version of 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