Create README.md

README.md

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+---
+tags:
+- masked-image-modeling
+- generated_from_trainer
+datasets:
+- hindawi
+model-index:
+- name: swinv2_arocr_tiny_encoder
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# swinv2_arocr_tiny_encoder
+
+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.
+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