DDTdonut-TeresaConFESTO-aggiunto61
This model is a fine-tuned version of alexbeta80/DDTdonut-TeresaNoFESTO on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0823
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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8357 | 1.0 | 31 | 0.1242 |
| 0.469 | 2.0 | 62 | 0.1013 |
| 0.3571 | 3.0 | 93 | 0.0823 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for alexbeta80/DDTdonut-TeresaConFESTO-aggiunto61
Base model
naver-clova-ix/donut-base
Finetuned
alexbeta80/DDTdonut-TeresaNoFESTO