metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- f1
model-index:
- name: donut-base-beans
results: []
donut-base-beans
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0548
- F1: 0.3303
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.0769 | 1.0 | 6733 | 0.4973 | 0.0657 |
| 0.0729 | 2.0 | 13466 | 0.4973 | 0.0613 |
| 0.0564 | 3.0 | 20199 | 0.4973 | 0.0621 |
| 0.0534 | 4.0 | 26932 | 0.4973 | 0.0572 |
| 0.0511 | 5.0 | 33665 | 0.4973 | 0.0562 |
| 0.0659 | 6.0 | 40398 | 0.4973 | 0.0577 |
| 0.0623 | 7.0 | 47131 | 0.4973 | 0.0567 |
| 0.0575 | 8.0 | 53864 | 0.4973 | 0.0555 |
| 0.048 | 9.0 | 60597 | 0.4973 | 0.0548 |
| 0.0389 | 10.0 | 67330 | 0.4973 | 0.0548 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1