gpt2-finetuned-depression

welsachy/gpt2-finetuned-depression

gpt2-finetuned-depression is a text classification model from welsachy. 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: gpt2
Access: Public
Created: Jun 23, 2024
Updated: Jun 23, 2024
SHA: c295d788

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Base models

Model card

From the Hugging Face model README

gpt2-finetuned-depression

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6647
Precision: 0.8917
Recall: 0.8648
F1: 0.8772
Accuracy: 0.9104

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	469	0.4102	0.8382	0.7154	0.7590	0.8614
0.652	2.0	938	0.3335	0.8669	0.8254	0.8439	0.8838
0.3283	3.0	1407	0.4627	0.8978	0.8464	0.8689	0.9041
0.1988	4.0	1876	0.5853	0.9021	0.8324	0.8628	0.8987
0.1613	5.0	2345	0.6426	0.9034	0.8385	0.8672	0.8987
0.1013	6.0	2814	0.6247	0.8682	0.8611	0.8643	0.9041
0.0863	7.0	3283	0.7673	0.8930	0.8375	0.8617	0.8987
0.0757	8.0	3752	0.6647	0.8917	0.8648	0.8772	0.9104
0.0511	9.0	4221	0.6658	0.8768	0.8674	0.8720	0.9030
0.0581	10.0	4690	0.7686	0.9104	0.8595	0.8824	0.9094
0.0311	11.0	5159	0.6830	0.8918	0.8488	0.8685	0.8977
0.0537	12.0	5628	0.7438	0.9078	0.8563	0.8795	0.9062
0.0436	13.0	6097	0.7950	0.8933	0.8438	0.8663	0.8987
0.042	14.0	6566	0.7248	0.8986	0.8507	0.8726	0.9030
0.0374	15.0	7035	0.6973	0.8884	0.8504	0.8681	0.9009
0.0371	16.0	7504	0.7294	0.8874	0.8554	0.8703	0.9030
0.0371	17.0	7973	0.7649	0.8937	0.8486	0.8692	0.9030
0.0318	18.0	8442	0.7576	0.8879	0.8467	0.8657	0.9009
0.0307	19.0	8911	0.7556	0.8937	0.8486	0.8692	0.9030
0.0264	20.0	9380	0.7647	0.8930	0.8486	0.8689	0.9030

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: gpt2
License: mit
Created: Jun 23, 2024
Updated: Jun 23, 2024