__tfvit-gpt2-chest-xray-captioning

AnaniyaX/__tfvit-gpt2-chest-xray-captioning

__tfvit-gpt2-chest-xray-captioning is a image-text-to-text model from AnaniyaX. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.

probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image-Text-to-Text
Library: transformers
Model type: vision-encoder-decoder
Access: Public
Created: Jul 1, 2023
Updated: Jul 1, 2023
SHA: 6401c2fb

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Model card

From the Hugging Face model README

AnaniyaX/__tfvit-gpt2-chest-xray-captioning

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.3103
Train Rouge2 Precision: 0.0
Train Rouge2 Recall: 0.0
Train Rouge2 Fmeasure: 0.0
Epoch: 9

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:

optimizer: {'name': 'RMSprop', 'learning_rate': 0.001, 'decay': 0.0, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
training_precision: float32

Training results

Train Loss	Train Rouge2 Precision	Train Rouge2 Recall	Train Rouge2 Fmeasure	Epoch
4.6320	0.0	0.0	0.0	0
2.2503	0.0	0.0	0.0	1
1.3682	0.0	0.0	0.0	2
1.0248	0.0	0.0	0.0	3
0.8247	0.0	0.0	0.0	4
0.6773	0.0	0.0	0.0	5
0.5437	0.0	0.0	0.0	6
0.4559	0.0	0.0	0.0	7
0.3674	0.0	0.0	0.0	8
0.3103	0.0	0.0	0.0	9

Framework versions

Transformers 4.30.2
TensorFlow 2.8.0
Datasets 2.13.1
Tokenizers 0.13.3

Task: Image-Text-to-Text
Library: transformers
Type: vision-encoder-decoder
Created: Jul 1, 2023
Updated: Jul 1, 2023