| | --- |
| | license: mit |
| | base_model: naver-clova-ix/donut-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - bleu |
| | - wer |
| | model-index: |
| | - name: donut-base-sroie-bayesian-optimization |
| | 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. --> |
| |
|
| | # donut-base-sroie-bayesian-optimization |
| |
|
| | This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1396 |
| | - Bleu: 0.0196 |
| | - Precisions: [0.9883177570093458, 0.9724655819774718, 0.954177897574124, 0.9328467153284672] |
| | - Brevity Penalty: 0.0203 |
| | - Length Ratio: 0.2043 |
| | - Translation Length: 856 |
| | - Reference Length: 4190 |
| | - Cer: 0.8584 |
| | - Wer: 1.0 |
| |
|
| | ## 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: 1.2010406976282324e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 2 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Bleu | Precisions | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Cer | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:--------------------------------------------------------------------------------:|:---------------:|:------------:|:------------------:|:----------------:|:------:|:---:| |
| | | 0.021 | 1.0 | 253 | 0.1656 | 0.0194 | [0.9848130841121495, 0.9649561952440551, 0.9420485175202157, 0.9153284671532846] | 0.0203 | 0.2043 | 856 | 4190 | 0.8596 | 1.0 | |
| | | 0.0353 | 2.0 | 506 | 0.1501 | 0.0195 | [0.9813736903376019, 0.9588528678304239, 0.9328859060402684, 0.9026162790697675] | 0.0207 | 0.2050 | 859 | 4190 | 0.8595 | 1.0 | |
| | | 0.0417 | 3.0 | 759 | 0.1423 | 0.0195 | [0.9871495327102804, 0.9699624530663329, 0.9501347708894878, 0.927007299270073] | 0.0203 | 0.2043 | 856 | 4190 | 0.8586 | 1.0 | |
| | | 0.0308 | 4.0 | 1012 | 0.1403 | 0.0193 | [0.9859649122807017, 0.9674185463659147, 0.9460188933873145, 0.9210526315789473] | 0.0202 | 0.2041 | 855 | 4190 | 0.8593 | 1.0 | |
| | | 0.0464 | 5.0 | 1265 | 0.1396 | 0.0196 | [0.9883177570093458, 0.9724655819774718, 0.954177897574124, 0.9328467153284672] | 0.0203 | 0.2043 | 856 | 4190 | 0.8584 | 1.0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.0.dev0 |
| | - Pytorch 2.1.0 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
| | |
