
## Sparrow - Data extraction from documents with ML

This model is finetuned Donut ML base model on invoices data. Model aims to verify how well Donut performs on enterprise docs.

Mean accuracy on test set: 0.96

Inference:

![Inference Results](https://raw.githubusercontent.com/katanaml/sparrow/main/sparrow-ui/assets/inference_actual.png)

Training loss:

![Training Loss](https://raw.githubusercontent.com/katanaml/sparrow/main/sparrow-ui/assets/donut_training_loss.png)

Sparrow on [GitHub](https://github.com/katanaml/sparrow)

Sample invoice [docs](https://github.com/katanaml/sparrow/tree/main/sparrow-ui/docs/images) to use for inference (docs up to 500 were used for fine-tuning, use docs from 500 for inference)

Our website [KatanaML](https://www.katanaml.io)

On [Twitter](https://twitter.com/katana_ml)
{"language": ["en"], "license": "mit", "datasets": ["katanaml-org/invoices-donut-data-v1"], "pipeline_tag": "image-to-text"}
transformers pytorch vision-encoder-decoder image-to-text en dataset:katanaml-org/invoices-donut-data-v1 license:mit endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #vision-encoder-decoder #image-to-text #en #dataset-katanaml-org/invoices-donut-data-v1 #license-mit #endpoints_compatible #has_space #region-us 


## Sparrow - Data extraction from documents with ML

This model is finetuned Donut ML base model on invoices data. Model aims to verify how well Donut performs on enterprise docs.

Mean accuracy on test set: 0.96

Inference:

!Inference Results

Training loss:

!Training Loss

Sparrow on GitHub

Sample invoice docs to use for inference (docs up to 500 were used for fine-tuning, use docs from 500 for inference)

Our website KatanaML

On Twitter
## Sparrow - Data extraction from documents with ML

This model is finetuned Donut ML base model on invoices data. Model aims to verify how well Donut performs on enterprise docs.

Mean accuracy on test set: 0.96

Inference:

!Inference Results

Training loss:

!Training Loss

Sparrow on GitHub

Sample invoice docs to use for inference (docs up to 500 were used for fine-tuning, use docs from 500 for inference)

Our website KatanaML

On Twitter
TAGS
#transformers #pytorch #vision-encoder-decoder #image-to-text #en #dataset-katanaml-org/invoices-donut-data-v1 #license-mit #endpoints_compatible #has_space #region-us 
 ## Sparrow - Data extraction from documents with ML

This model is finetuned Donut ML base model on invoices data. Model aims to verify how well Donut performs on enterprise docs.

Mean accuracy on test set: 0.96

Inference:

!Inference Results

Training loss:

!Training Loss

Sparrow on GitHub

Sample invoice docs to use for inference (docs up to 500 were used for fine-tuning, use docs from 500 for inference)

Our website KatanaML

On Twitter
TAGS
#transformers #pytorch #vision-encoder-decoder #image-to-text #en #dataset-katanaml-org/invoices-donut-data-v1 #license-mit #endpoints_compatible #has_space #region-us 
## Sparrow - Data extraction from documents with ML

This model is finetuned Donut ML base model on invoices data. Model aims to verify how well Donut performs on enterprise docs.

Mean accuracy on test set: 0.96

Inference:

!Inference Results

Training loss:

!Training Loss

Sparrow on GitHub

Sample invoice docs to use for inference (docs up to 500 were used for fine-tuning, use docs from 500 for inference)

Our website KatanaML

On Twitter