sentiment-deberta-e6-b16

YanJiangJerry/sentiment-deberta-e6-b16

sentiment-deberta-e6-b16 is a text classification model from YanJiangJerry. 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: Jul 14, 2023
Updated: Jul 14, 2023
SHA: 8c66e2b2

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Model card

From the Hugging Face model README

sentiment-deberta-e6-b16

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

Loss: 2.1021
F1: 0.6226
Recall: 0.6226
Precision: 0.6226

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: 2e-05
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
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Recall	Precision
No log	1.0	375	0.8565	0.6792	0.6792	0.6792
0.871	2.0	750	1.0402	0.5930	0.5930	0.5930
0.4299	3.0	1125	1.3899	0.5876	0.5876	0.5876
0.1941	4.0	1500	1.5427	0.6307	0.6307	0.6307
0.1941	5.0	1875	1.9280	0.6469	0.6469	0.6469
0.0802	6.0	2250	2.1021	0.6226	0.6226	0.6226

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: deberta-v2
License: mit
Created: Jul 14, 2023
Updated: Jul 14, 2023