Edit model card

donut-proto-sroie

This model is a fine-tuned version of naver-clova-ix/donut-proto on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9048

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: 2e-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
7.7533 1.0 73 7.3383
6.2747 2.0 146 5.8340
4.5766 3.0 219 4.4653
4.2866 4.0 292 3.6184
3.5846 5.0 365 3.3728
3.5065 6.0 438 3.2303
2.8412 7.0 511 3.1083
3.4091 8.0 584 3.0442
3.0191 9.0 657 3.0130
2.5351 10.0 730 2.9678
2.9271 11.0 803 2.9627
2.7935 12.0 876 2.9427
3.0205 13.0 949 2.9298
3.1783 14.0 1022 2.9204
3.0527 15.0 1095 2.9210
2.2231 16.0 1168 2.9251
2.1284 17.0 1241 2.9015
2.6874 18.0 1314 2.9099
2.5325 19.0 1387 2.9091
2.6132 20.0 1460 2.9048

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1
Downloads last month
1
Unable to determine this model’s pipeline type. Check the docs .

Finetuned from