|
--- |
|
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 |
|
|
