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: 1.4445

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
0.9648	1.0	104	1.5477
0.7524	2.0	208	1.4673
0.6669	3.0	312	1.4445

Framework versions

Transformers 4.38.2
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

tedad09/PolizzeDonut-Cluster3di3-AutoEnc-3Epochs

PolizzeDonut-Cluster3di3-AutoEnc-3Epochs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tedad09/
PolizzeDonut-Cluster3di3-AutoEnc-3Epochs