deberta-v3-large-model-edit-classifier

domenicrosati/deberta-v3-large-model-edit-classifier

deberta-v3-large-model-edit-classifier is a text classification model from domenicrosati. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: Nov 17, 2023
Updated: Nov 23, 2023
SHA: dadd2207

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Model card

From the Hugging Face model README

deberta-v3-large-model-edit-classifier

This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9102
Krippendorff: 0.7991
Accuracy: 0.8571
Macro F1: 0.8377
Macro Precision: 0.8426
Macro Recall: 0.8333
Micro F1: 0.8571
Micro Precision: 0.8571
Micro Recall: 0.8571

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: 6e-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Krippendorff	Accuracy	Macro F1	Macro Precision	Macro Recall	Micro F1	Micro Precision	Micro Recall
No log	1.0	83	1.0596	-0.2872	0.5076	0.2245	0.1692	0.3333	0.5076	0.5076	0.5076
No log	2.0	166	0.9677	-0.2872	0.5076	0.2245	0.1692	0.3333	0.5076	0.5076	0.5076
No log	3.0	249	0.8841	-0.2872	0.5076	0.2245	0.1692	0.3333	0.5076	0.5076	0.5076
No log	4.0	332	0.8515	-0.2872	0.5076	0.2245	0.1692	0.3333	0.5076	0.5076	0.5076
No log	5.0	415	0.8048	0.2020	0.6140	0.5405	0.6953	0.5634	0.6140	0.6140	0.6140
No log	6.0	498	0.6971	0.5211	0.7112	0.6850	0.7512	0.7224	0.7112	0.7112	0.7112
0.9047	7.0	581	0.6050	0.6242	0.7599	0.7236	0.7615	0.7092	0.7599	0.7599	0.7599
0.9047	8.0	664	0.4781	0.7468	0.8116	0.7820	0.7974	0.7747	0.8116	0.8116	0.8116
0.9047	9.0	747	0.4446	0.7413	0.8267	0.7986	0.8219	0.8000	0.8267	0.8267	0.8267
0.9047	10.0	830	0.4541	0.7510	0.8480	0.8261	0.8455	0.8134	0.8480	0.8480	0.8480
0.9047	11.0	913	0.4691	0.7527	0.8419	0.8189	0.8353	0.8069	0.8419	0.8419	0.8419
0.9047	12.0	996	0.6103	0.7107	0.8237	0.8011	0.8170	0.8011	0.8237	0.8237	0.8237
0.4334	13.0	1079	0.5507	0.7751	0.8511	0.8360	0.8312	0.8423	0.8511	0.8511	0.8511
0.4334	14.0	1162	0.6642	0.7548	0.8359	0.8168	0.8174	0.8163	0.8359	0.8359	0.8359
0.4334	15.0	1245	0.6858	0.8054	0.8632	0.8443	0.8454	0.8433	0.8632	0.8632	0.8632
0.4334	16.0	1328	0.8332	0.7152	0.8176	0.8007	0.7995	0.8025	0.8176	0.8176	0.8176
0.4334	17.0	1411	0.8105	0.7753	0.8480	0.8308	0.8314	0.8303	0.8480	0.8480	0.8480
0.4334	18.0	1494	0.8472	0.8009	0.8602	0.8416	0.8454	0.8382	0.8602	0.8602	0.8602
0.1213	19.0	1577	0.9164	0.7734	0.8450	0.8273	0.8263	0.8283	0.8450	0.8450	0.8450
0.1213	20.0	1660	0.9102	0.7991	0.8571	0.8377	0.8426	0.8333	0.8571	0.8571	0.8571

Framework versions

Transformers 4.26.0
Pytorch 1.13.1
Datasets 2.10.1
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: deberta-v2
License: mit
Created: Nov 17, 2023
Updated: Nov 23, 2023