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---
license: mit
base_model: alexbeta80/DDTdonut-TeresaNoFESTO
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: DDTdonut-TeresaConFESTO-aggiunto30
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. -->
# DDTdonut-TeresaConFESTO-aggiunto30
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: 0.0981
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9833 | 1.0 | 15 | 0.2097 |
| 0.6449 | 2.0 | 30 | 0.1084 |
| 0.5315 | 3.0 | 45 | 0.0981 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|