curated-gender-equality-weighted

alex-miller/curated-gender-equality-weighted

curated-gender-equality-weighted is a text classification model from alex-miller. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 18, 2024
Updated: Jun 26, 2024
SHA: 68a51498

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Base models

alex-miller/ODABert

Model card

From the Hugging Face model README

curated-gender-equality-weighted

This model is a fine-tuned version of alex-miller/ODABert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3517
Accuracy: 0.9298
F1: 0.8728
Precision: 0.8629
Recall: 0.8829

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: 1e-06
train_batch_size: 24
eval_batch_size: 24
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	Accuracy	F1	Precision	Recall
0.7794	1.0	342	0.5844	0.7357	0.6625	0.5084	0.9508
0.5228	2.0	684	0.4504	0.8588	0.7793	0.6795	0.9133
0.4184	3.0	1026	0.3897	0.8957	0.8242	0.7627	0.8963
0.3696	4.0	1368	0.3621	0.9083	0.8423	0.7937	0.8972
0.3354	5.0	1710	0.3667	0.9064	0.8369	0.7976	0.8803
0.3079	6.0	2052	0.3525	0.9122	0.8459	0.8118	0.8829
0.2927	7.0	2394	0.3373	0.9181	0.8552	0.8260	0.8865
0.2741	8.0	2736	0.3219	0.9252	0.8668	0.8423	0.8928
0.2627	9.0	3078	0.3576	0.9147	0.8481	0.8245	0.8731
0.2528	10.0	3420	0.3306	0.9266	0.8685	0.8496	0.8883
0.2398	11.0	3762	0.3336	0.9281	0.8703	0.8564	0.8847
0.2318	12.0	4104	0.3289	0.9308	0.8751	0.8615	0.8892
0.2234	13.0	4446	0.3438	0.9271	0.8683	0.8559	0.8811
0.2169	14.0	4788	0.3311	0.9327	0.8787	0.8643	0.8937
0.2126	15.0	5130	0.3444	0.9288	0.8716	0.8580	0.8856
0.2078	16.0	5472	0.3442	0.9298	0.8734	0.8597	0.8874
0.206	17.0	5814	0.3520	0.9281	0.8699	0.8589	0.8811
0.1986	18.0	6156	0.3473	0.9305	0.8743	0.8632	0.8856
0.1958	19.0	6498	0.3502	0.9300	0.8732	0.8636	0.8829
0.1958	20.0	6840	0.3517	0.9298	0.8728	0.8629	0.8829

Framework versions

Transformers 4.41.2
Pytorch 2.0.1
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 18, 2024
Updated: Jun 26, 2024