convnext-tiny-224_finetuned_on_unlabelled_IA_with_snorkel_labels

ImageIN/convnext-tiny-224_finetuned_on_unlabelled_IA_with_snorkel_labels

convnext-tiny-224_finetuned_on_unlabelled_IA_with_snorkel_labels is a image classification model from ImageIN. Use it when you need a label for an image. It is set up for transformers.

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

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At a glance

Task: Image Classification
Library: transformers
Model type: convnext
Access: Public
Created: Oct 13, 2022
Updated: Oct 13, 2022
SHA: 499fafe3

Model card

From the Hugging Face model README

convnext-tiny-224_finetuned_on_unlabelled_IA_with_snorkel_labels

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4381
Precision: 0.8239
Recall: 0.7919
F1: 0.8058
Accuracy: 0.8629

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: 0.001
train_batch_size: 256
eval_batch_size: 256
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	Precision	Recall	F1	Accuracy
No log	1.0	112	0.5589	0.7547	0.5380	0.5097	0.7679
No log	2.0	224	0.5578	0.7691	0.5387	0.5103	0.7690
No log	3.0	336	0.4812	0.8513	0.7371	0.7709	0.8555
No log	4.0	448	0.4387	0.8734	0.6539	0.6835	0.8259
0.482	5.0	560	0.4427	0.8322	0.6250	0.6449	0.8085
0.482	6.0	672	0.6234	0.8219	0.5702	0.5635	0.7848
0.482	7.0	784	0.6187	0.8791	0.6070	0.6196	0.8054
0.482	8.0	896	0.3953	0.8683	0.7134	0.7507	0.8502
0.3656	9.0	1008	0.4381	0.8239	0.7919	0.8058	0.8629
0.3656	10.0	1120	0.5346	0.7794	0.7900	0.7844	0.8370
0.3656	11.0	1232	0.3685	0.8678	0.7600	0.7943	0.8681
0.3656	12.0	1344	0.6900	0.6244	0.6667	0.6099	0.6435
0.3656	13.0	1456	0.6097	0.6832	0.7149	0.6931	0.7511
0.2987	14.0	1568	0.5435	0.8746	0.6754	0.7096	0.8354
0.2987	15.0	1680	0.5525	0.7277	0.7690	0.7411	0.7890
0.2987	16.0	1792	0.5003	0.8086	0.7694	0.7856	0.8507
0.2987	17.0	1904	0.8172	0.6183	0.6576	0.6074	0.6450
0.2598	18.0	2016	0.6102	0.6977	0.7489	0.7070	0.75
0.2598	19.0	2128	0.4260	0.8523	0.7497	0.7822	0.8602
0.2598	20.0	2240	0.5503	0.8276	0.6770	0.7079	0.8281
0.2598	21.0	2352	0.4574	0.7994	0.7785	0.7879	0.8481
0.2598	22.0	2464	0.6307	0.8620	0.6353	0.6592	0.8165
0.2111	23.0	2576	0.4605	0.8196	0.7697	0.7894	0.8555
0.2111	24.0	2688	0.5290	0.8152	0.7320	0.7592	0.8434
0.2111	25.0	2800	0.4754	0.8755	0.7216	0.7599	0.8550
0.2111	26.0	2912	0.5161	0.8428	0.7436	0.7750	0.8555
0.1638	27.0	3024	0.5753	0.7358	0.7278	0.7316	0.8043
0.1638	28.0	3136	0.6403	0.8468	0.7016	0.7360	0.8412
0.1638	29.0	3248	0.5418	0.7912	0.7473	0.7647	0.8381
0.1638	30.0	3360	0.5651	0.8240	0.7315	0.7607	0.8460

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.0
Tokenizers 0.13.1

Task: Image Classification
Library: transformers
Type: convnext
Created: Oct 13, 2022
Updated: Oct 13, 2022