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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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<!-- 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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# swinv2_arocr_tiny_encoder |
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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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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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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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### Framework versions |
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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 |
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