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swinv2_arocr_tiny_encoder

This model is a fine-tuned version of /lustre07/scratch/gagan30/arocr/models/swinv2_arocr_tiny/config.json on the /lustre07/scratch/gagan30/arocr/Hindawi dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0519

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 1337
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10.0

Training results

Training Loss Epoch Step Validation Loss
0.0891 1.0 8078 0.0628
0.0465 2.0 16156 0.0595
0.0639 3.0 24234 0.0570
0.0608 4.0 32312 0.0548
0.0487 5.0 40390 0.0554
0.059 6.0 48468 0.0533
0.0677 7.0 56546 0.0525
0.0555 8.0 64624 0.0521
0.0502 9.0 72702 0.0520
0.0496 10.0 80780 0.0519

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.12.0
  • Datasets 2.7.1
  • Tokenizers 0.11.6
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