SA-tweet-bert-large-e6-w1-1.5-b16-m4

YanJiangJerry/SA-tweet-bert-large-e6-w1-1.5-b16-m4

SA-tweet-bert-large-e6-w1-1.5-b16-m4 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 13, 2023
Updated: Jul 13, 2023
SHA: 55071494

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Model card

From the Hugging Face model README

SA-tweet-bert-large-e6-w1-1.5-b16-m4

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

Loss: 0.4333
Accuracy: 0.933
F1: 0.9406
Precision: 0.9414
Recall: 0.9397

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	Accuracy	F1	Precision	Recall
No log	1.0	285	0.2078	0.917	0.9280	0.9083	0.9486
0.2897	2.0	570	0.2084	0.92	0.9313	0.9033	0.9610
0.2897	3.0	855	0.2873	0.925	0.9343	0.9237	0.9450
0.1152	4.0	1140	0.3181	0.933	0.9408	0.9383	0.9433
0.1152	5.0	1425	0.4471	0.93	0.9382	0.9349	0.9415
0.036	6.0	1710	0.4333	0.933	0.9406	0.9414	0.9397

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 13, 2023
Updated: Jul 13, 2023