BITAMIN_MULTIMODAL

jeo0534/BITAMIN_MULTIMODAL

BITAMIN_MULTIMODAL is a machine learning model from jeo0534. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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Hugging Face

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At a glance

Model type: vision-encoder-decoder
Access: Public
Created: Aug 23, 2024
Updated: Aug 23, 2024
SHA: 919b08aa

Base models

ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko

Model card

From the Hugging Face model README

BITAMIN_PET_FINAL

This model is a fine-tuned version of ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0670
Rouge1: 5.1373
Rouge2: 3.2797
Rougel: 5.1561
Rougelsum: 5.1999
Gen Len: 100.0

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: 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: 5

Training results

Training Loss	Epoch	Step	Gen Len	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.1753	1.0	5963	100.0	0.1586	0.0	0.0	0.0	0.0
0.1066	2.0	11926	0.1091	0.2155	0.1961	0.2155	0.2305	100.0
0.0659	3.0	17889	0.0834	1.8169	1.2573	1.8423	1.8571	100.0
0.0417	4.0	23852	0.0712	2.9034	1.9182	2.9223	2.9168	100.0
0.0319	5.0	29815	0.0670	5.1373	3.2797	5.1561	5.1999	100.0

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: vision-encoder-decoder
Created: Aug 23, 2024
Updated: Aug 23, 2024