mit-b2-VF2-finetuned-memes

jayanta/mit-b2-VF2-finetuned-memes

mit-b2-VF2-finetuned-memes is a image classification model from jayanta. Use it when you need a label for an image. It is set up for transformers. The card lists the license as other.

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

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At a glance

Task: Image Classification
Library: transformers
License: other
Model type: segformer
Access: Public
Created: Oct 21, 2022
Updated: Oct 21, 2022
SHA: b4fd18c8

Datasets

imagefolder

Model card

From the Hugging Face model README

mit-b2-VF2-finetuned-memes

This model is a fine-tuned version of nvidia/mit-b2 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.6547
Accuracy: 0.8308
Precision: 0.8272
Recall: 0.8308
F1: 0.8287

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: 0.00012
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.3077	0.99	20	1.1683	0.5549	0.5621	0.5549	0.5286
0.9359	1.99	40	0.8573	0.6731	0.6807	0.6731	0.6535
0.7219	2.99	60	0.7106	0.7272	0.7359	0.7272	0.7246
0.6013	3.99	80	0.6445	0.7550	0.7686	0.7550	0.7558
0.5243	4.99	100	0.6717	0.7573	0.8077	0.7573	0.7584
0.4409	5.99	120	0.5315	0.8068	0.8027	0.8068	0.7989
0.3325	6.99	140	0.5159	0.8230	0.8236	0.8230	0.8158
0.2719	7.99	160	0.5250	0.8215	0.8227	0.8215	0.8202
0.242	8.99	180	0.5087	0.8277	0.8260	0.8277	0.8268
0.2247	9.99	200	0.5313	0.8215	0.8275	0.8215	0.8218
0.1955	10.99	220	0.6167	0.8130	0.8062	0.8130	0.8073
0.1567	11.99	240	0.5859	0.8168	0.8185	0.8168	0.8173
0.1479	12.99	260	0.5938	0.8215	0.8169	0.8215	0.8178
0.1241	13.99	280	0.6187	0.8261	0.8234	0.8261	0.8239
0.1114	14.99	300	0.6419	0.8261	0.8351	0.8261	0.8293
0.1022	15.99	320	0.6322	0.8323	0.8284	0.8323	0.8294
0.0941	16.99	340	0.6595	0.8269	0.8266	0.8269	0.8263
0.0935	17.99	360	0.6674	0.8269	0.8218	0.8269	0.8237
0.089	18.99	380	0.6533	0.8253	0.8222	0.8253	0.8235
0.0794	19.99	400	0.6547	0.8308	0.8272	0.8308	0.8287

Framework versions

Transformers 4.24.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.6.1.dev0
Tokenizers 0.13.1

Task: Image Classification
Library: transformers
Type: segformer
License: other
Created: Oct 21, 2022
Updated: Oct 21, 2022