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+ ---
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+ tags:
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+ - masked-image-modeling
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+ - generated_from_trainer
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+ datasets:
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+ - hindawi
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+ model-index:
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+ - name: swinv2_arocr_tiny_encoder
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+ results: []
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+ ---
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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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+
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+ # swinv2_arocr_tiny_encoder
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+
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+ This model is a fine-tuned version of [/lustre07/scratch/gagan30/arocr/models/swinv2_arocr_tiny/config.json](https://huggingface.co//lustre07/scratch/gagan30/arocr/models/swinv2_arocr_tiny/config.json) on the /lustre07/scratch/gagan30/arocr/Hindawi dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0519
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 1337
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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: 10.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.0891 | 1.0 | 8078 | 0.0628 |
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+ | 0.0465 | 2.0 | 16156 | 0.0595 |
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+ | 0.0639 | 3.0 | 24234 | 0.0570 |
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+ | 0.0608 | 4.0 | 32312 | 0.0548 |
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+ | 0.0487 | 5.0 | 40390 | 0.0554 |
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+ | 0.059 | 6.0 | 48468 | 0.0533 |
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+ | 0.0677 | 7.0 | 56546 | 0.0525 |
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+ | 0.0555 | 8.0 | 64624 | 0.0521 |
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+ | 0.0502 | 9.0 | 72702 | 0.0520 |
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+ | 0.0496 | 10.0 | 80780 | 0.0519 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.0.dev0
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+ - Pytorch 1.12.0
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+ - Datasets 2.7.1
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+ - Tokenizers 0.11.6