license: mit | |
tags: | |
- generated_from_trainer | |
datasets: | |
- imagefolder | |
model-index: | |
- name: donut-base-w2 | |
results: [] | |
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# donut-base-w2 | |
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset. | |
## 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: 2e-05 | |
- train_batch_size: 2 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3 | |
### Training results | |
### Framework versions | |
- Transformers 4.28.0 | |
- Pytorch 1.13.1+cpu | |
- Datasets 2.12.0 | |
- Tokenizers 0.13.3 | |