deberta-v3-small-finetuned-sst2

mrm8488/deberta-v3-small-finetuned-sst2

deberta-v3-small-finetuned-sst2 is a text classification model from mrm8488. 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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Model card

From the Hugging Face model README

DeBERTa v3 (small) fine-tuned on SST2

This model is a fine-tuned version of microsoft/deberta-v3-small on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

Loss: 0.2134
Accuracy: 0.9404

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: 3e-05
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: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.176	1.0	4210	0.2134	0.9404
0.1254	2.0	8420	0.2362	0.9415
0.0957	3.0	12630	0.3187	0.9335
0.0673	4.0	16840	0.3039	0.9266
0.0457	5.0	21050	0.3521	0.9312

Framework versions

Transformers 4.13.0.dev0
Pytorch 1.10.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: deberta-v2
License: mit
Languages: en
Created: Mar 2, 2022
Updated: Mar 23, 2023