---
license: mit
base_model: alexbeta80/DDTdonut-TeresaNoFESTO
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: DDTdonut-TeresaConFESTO-aggiunto61
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DDTdonut-TeresaConFESTO-aggiunto61

This model is a fine-tuned version of [alexbeta80/DDTdonut-TeresaNoFESTO](https://huggingface.co/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