fine-tune-mbert-combined

nouman-10/fine-tune-mbert-combined

fine-tune-mbert-combined is a text classification model from nouman-10. 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: Mar 8, 2023
Updated: Mar 8, 2023
SHA: 52c25c78

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Model card

From the Hugging Face model README

fine-tune-mbert-combined

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

Loss: 1.2107
Accuracy: 0.7122
F1: 0.6796

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.4817	1.0	1819	0.7004	0.6453	0.5580
0.3926	2.0	3638	0.6305	0.6860	0.6516
0.3086	3.0	5457	0.6903	0.7180	0.6921
0.224	4.0	7276	0.8760	0.6977	0.6688
0.1889	5.0	9095	1.2107	0.7122	0.6796

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 8, 2023
Updated: Mar 8, 2023