finetuned-bin

rathi2023/finetuned-bin

finetuned-bin is a image classification model from rathi2023. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Mar 30, 2024
Updated: Mar 31, 2024
SHA: 9e0be71b

Base models

google/vit-base-patch16-224

Model card

From the Hugging Face model README

finetuned-bin

This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.7526
Accuracy: 0.0582
F1: 0.0356

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
2.7759	0.13	100	2.7526	0.0582	0.0356
2.7726	0.25	200	2.7794	0.0627	0.0208
2.7741	0.38	300	2.7754	0.0853	0.0450
2.775	0.5	400	2.7739	0.0818	0.0357
2.7738	0.63	500	2.7691	0.1204	0.0434
2.7737	0.75	600	2.7744	0.0573	0.0349
2.7732	0.88	700	2.7759	0.0484	0.0244
2.7746	1.0	800	2.7592	0.0942	0.0434
2.7737	1.13	900	2.7727	0.1098	0.0541
2.7715	1.25	1000	2.7719	0.0893	0.0414
2.7742	1.38	1100	2.7985	0.0	0.0
2.7715	1.51	1200	2.7729	0.024	0.0158
2.7698	1.63	1300	2.7711	0.0649	0.0344
2.7717	1.76	1400	2.7709	0.0858	0.0387
2.7708	1.88	1500	2.7726	0.0587	0.0368
2.7736	2.01	1600	2.8029	0.0	0.0
2.7726	2.13	1700	2.7743	0.088	0.0327
2.7734	2.26	1800	2.7734	0.0284	0.0163
2.7726	2.38	1900	2.7731	0.0578	0.0330
2.7733	2.51	2000	2.7711	0.1098	0.0498
2.7729	2.63	2100	2.7769	0.0018	0.0019
2.773	2.76	2200	2.7631	0.1076	0.0319
2.7743	2.89	2300	2.7768	0.0	0.0
2.7736	3.01	2400	2.7883	0.0	0.0
2.7726	3.14	2500	2.7727	0.104	0.0495
2.7727	3.26	2600	2.7694	0.0969	0.0569
2.7733	3.39	2700	2.7861	0.0004	0.0008
2.7739	3.51	2800	2.7727	0.1022	0.0575
2.7734	3.64	2900	2.7728	0.112	0.0478
2.7732	3.76	3000	2.7729	0.1236	0.0567
2.7736	3.89	3100	2.7727	0.1218	0.0587

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Mar 30, 2024
Updated: Mar 31, 2024