Hierarchical_Agent_Action

Raihan004/Hierarchical_Agent_Action

Hierarchical_Agent_Action is a image classification model from Raihan004. 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: Dec 2, 2023
Updated: Dec 27, 2023
SHA: 6f44a336

Base models

google/vit-base-patch16-224-in21k

Datasets

image_folder

Model card

From the Hugging Face model README

Hierarchical_Agent_Action

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the agent_action_class dataset. It achieves the following results on the evaluation set:

Loss: 0.5942
Accuracy: 0.8403

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: 0.0001
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.4407	0.81	100	2.2716	0.6058
1.7756	1.61	200	1.6162	0.7065
1.3948	2.42	300	1.2200	0.7698
1.131	3.23	400	1.0012	0.7856
0.9239	4.03	500	0.9055	0.7827
0.8699	4.84	600	0.8103	0.7827
0.6707	5.65	700	0.7610	0.7842
0.6206	6.45	800	0.7312	0.7885
0.5795	7.26	900	0.6989	0.8101
0.4914	8.06	1000	0.7066	0.7813
0.5087	8.87	1100	0.6398	0.8187
0.4373	9.68	1200	0.6293	0.8043
0.4365	10.48	1300	0.6726	0.7971
0.4517	11.29	1400	0.6047	0.8245
0.4114	12.1	1500	0.6088	0.8230
0.426	12.9	1600	0.6165	0.8201
0.3456	13.71	1700	0.6133	0.8259
0.332	14.52	1800	0.6736	0.8201
0.3646	15.32	1900	0.6406	0.8173
0.3287	16.13	2000	0.6978	0.7971
0.2793	16.94	2100	0.6433	0.8173
0.2924	17.74	2200	0.6474	0.8144
0.2605	18.55	2300	0.6279	0.8288
0.2016	19.35	2400	0.6361	0.8216
0.2524	20.16	2500	0.6394	0.8259
0.2017	20.97	2600	0.6683	0.8158
0.2082	21.77	2700	0.6389	0.8345
0.2751	22.58	2800	0.6141	0.8374
0.207	23.39	2900	0.6052	0.8259
0.1791	24.19	3000	0.6332	0.8230
0.1719	25.0	3100	0.5942	0.8403
0.1685	25.81	3200	0.6121	0.8360
0.1557	26.61	3300	0.6237	0.8345
0.1694	27.42	3400	0.6372	0.8317
0.1927	28.23	3500	0.6378	0.8273
0.1375	29.03	3600	0.6258	0.8331
0.1653	29.84	3700	0.6262	0.8331

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Dec 2, 2023
Updated: Dec 27, 2023