| | --- |
| | base_model: microsoft/dit-base-finetuned-rvlcdip |
| | tags: |
| | - image-classification |
| | - vision |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: donut-base-beans |
| | 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-beans |
| |
|
| | This model is a fine-tuned version of [microsoft/dit-base-finetuned-rvlcdip](https://huggingface.co/microsoft/dit-base-finetuned-rvlcdip) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1870 |
| | - F1: 0.3826 |
| |
|
| | ## 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: 0.0005 |
| | - train_batch_size: 128 |
| | - eval_batch_size: 128 |
| | - seed: 1337 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - training_steps: 30000 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 | |
| | |:-------------:|:------:|:----:|:---------------:|:------:| |
| | | No log | 0.2524 | 500 | 0.1623 | 0.3040 | |
| | | 0.1656 | 0.5048 | 1000 | 0.4307 | nan | |
| | | 0.1656 | 0.7572 | 1500 | 0.1493 | nan | |
| | | 0.14 | 1.0096 | 2000 | 0.1870 | 0.3826 | |
| | | 0.14 | 1.2620 | 2500 | 0.1076 | nan | |
| | | 0.1285 | 1.5144 | 3000 | 0.0896 | 0.3812 | |
| | | 0.1285 | 1.7668 | 3500 | 0.1405 | nan | |
| | | 0.123 | 2.0192 | 4000 | 0.2061 | nan | |
| | | 0.123 | 2.2716 | 4500 | 0.2283 | 0.2395 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.43.0.dev0 |
| | - Pytorch 2.1.2+cu118 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
