---
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