depression_tweet

fatemehsaveh/depression_tweet

depression_tweet is a text classification model from fatemehsaveh. 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: Jan 22, 2024
Updated: Jan 27, 2024
SHA: 60446d02

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Base models

rafalposwiata/deproberta-large-v1

Model card

From the Hugging Face model README

depression_tweet

This model is a fine-tuned version of rafalposwiata/deproberta-large-v1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0646
Accuracy: 0.9836
Precision: 0.9656
Recall: 0.9977
F1: 0.9814

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: 128
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	0.2	50	0.1556	0.9684	0.9508	0.9777	0.9641
No log	0.4	100	0.1399	0.9646	0.9354	0.9865	0.9603
No log	0.61	150	0.1118	0.9631	0.9279	0.9920	0.9589
No log	0.81	200	0.1090	0.9659	0.9333	0.9922	0.9619
No log	1.01	250	0.0819	0.9759	0.9556	0.9905	0.9727
No log	1.21	300	0.0548	0.9831	0.9831	0.9777	0.9804
No log	1.42	350	0.1162	0.9587	0.9435	0.9624	0.9529
No log	1.62	400	0.1167	0.9657	0.9303	0.9955	0.9618
No log	1.82	450	0.0859	0.9776	0.9549	0.9955	0.9747
0.0575	2.02	500	0.0564	0.9848	0.9707	0.9950	0.9827
0.0575	2.23	550	0.0591	0.9839	0.9693	0.9945	0.9817
0.0575	2.43	600	0.0913	0.9814	0.9623	0.9962	0.9790
0.0575	2.63	650	0.0633	0.9847	0.9686	0.9970	0.9826
0.0575	2.83	700	0.1171	0.9762	0.9493	0.9985	0.9733
0.0575	3.04	750	0.0646	0.9836	0.9656	0.9977	0.9814

Framework versions

Transformers 4.37.1
Pytorch 2.0.1
Datasets 2.16.1
Tokenizers 0.15.1

Task: Text Classification
Library: transformers
Type: roberta
Created: Jan 22, 2024
Updated: Jan 27, 2024