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tedad09/
PolizzeDonut-ConXLS-3Epochs

Name: PolizzeDonut-ConXLS-3Epochs
Availability: InStock

transformers

safetensors

vision-encoder-decoder

image-to-text

generated_from_trainer

imagefolder

tedad09/PolizzeDonut-SoloPDF-3Epochs

finetune

mit

endpoints_compatible

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PolizzeDonut-ConXLS-3Epochs

This model is a fine-tuned version of tedad09/PolizzeDonut-SoloPDF-3Epochs on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.2961

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
1.1653	1.0	26	0.3318
0.973	2.0	52	0.3121
0.7283	3.0	78	0.2961

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

tedad09/PolizzeDonut-ConXLS-3Epochs

PolizzeDonut-ConXLS-3Epochs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tedad09/
PolizzeDonut-ConXLS-3Epochs