git-base-duski_captioner_customtrainer

PepPixie/git-base-duski_captioner_customtrainer

git-base-duski_captioner_customtrainer is a image-text-to-text model from PepPixie. 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. The card lists the license as mit.

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

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Hugging Face

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At a glance

Task: Image-Text-to-Text
Library: transformers
License: mit
Model type: git
Access: Public
Created: Nov 15, 2023
Updated: Nov 15, 2023
SHA: f7f127fd

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Base models

microsoft/git-base

Model card

From the Hugging Face model README

git-base-duski_captioner_customtrainer

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

Loss: 4.1536
Wer Score: 8.0755

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Score
7.5116	25.0	50	5.5551	8.1132
4.5914	50.0	100	4.1536	8.0755

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.6
Tokenizers 0.13.3

Task: Image-Text-to-Text
Library: transformers
Type: git
License: mit
Created: Nov 15, 2023
Updated: Nov 15, 2023