deberta-v3-large_relationships_v3.2

bobbyw/deberta-v3-large_relationships_v3.2

deberta-v3-large_relationships_v3.2 is a text classification model from bobbyw. Use it when you need a label for a piece of text. It is set up for transformers.

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

Downloads · 30 days

1% of all-time downloads

All-time downloads

700

Public

Parameters

435M

454 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.7 GB · 99%

At a glance

Task: Text Classification
Library: transformers
Model type: deberta-v2
Access: Public
Created: Jul 12, 2024
Updated: Nov 8, 2024
SHA: d631a628

Try a prompt

Model card

From the Hugging Face model README

deberta-v3-large_relationships_v3.2

This model is a fine-tuned version of bobbyw/deberta-v3-large_relationships_v3.2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0079
Accuracy: 0.0017
F1: 0.0020
Precision: 0.0010
Recall: 0.4398
Learning Rate: 0.001

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: 1e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Rate
0.0022	1.0	4106	0.0076	0.0015	0.0022	0.0011	0.4722	0.001
0.0026	2.0	8212	0.0080	0.0017	0.0020	0.0010	0.4306	0.001
0.0021	3.0	12318	0.0079	0.0017	0.0020	0.0010	0.4398	0.001

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: deberta-v2
Created: Jul 12, 2024
Updated: Nov 8, 2024