metadata
license: mit
base_model: tedad09/PolizzeDonut-SoloPDF-3Epochs-tot
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: PolizzeDonut-Cluster5di5-ftPDF-3Epochs
results: []
PolizzeDonut-Cluster5di5-ftPDF-3Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-SoloPDF-3Epochs-tot on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.5338
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 |
|---|---|---|---|
| 0.5253 | 1.0 | 98 | 0.5480 |
| 0.3945 | 2.0 | 196 | 0.5118 |
| 0.3414 | 3.0 | 294 | 0.5338 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2