sentiment-roberta-clean-e4-b16-data2

YanJiangJerry/sentiment-roberta-clean-e4-b16-data2

sentiment-roberta-clean-e4-b16-data2 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.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Jul 14, 2023
Updated: Jul 14, 2023
SHA: cca465d1

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Model card

From the Hugging Face model README

sentiment-roberta-clean-e4-b16-data2

This model is a fine-tuned version of Amalq/autotrain-smm4h_large_roberta_clean-874027878 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.4743
F1: 0.7601
Recall: 0.7601
Precision: 0.7601

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Recall	Precision
No log	1.0	375	0.7254	0.7412	0.7412	0.7412
0.5672	2.0	750	1.0065	0.7682	0.7682	0.7682
0.1966	3.0	1125	1.3354	0.7547	0.7547	0.7547
0.0871	4.0	1500	1.4743	0.7601	0.7601	0.7601

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: roberta
Created: Jul 14, 2023
Updated: Jul 14, 2023