bert-base-multilingual-cased-finetuned

7Xan7der7/bert-base-multilingual-cased-finetuned

bert-base-multilingual-cased-finetuned is a text classification model from 7Xan7der7. 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: Oct 14, 2023
Updated: Oct 24, 2023
SHA: b84e7ed8

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Base models

Datasets

glue

Model card

From the Hugging Face model README

bert-base-multilingual-cased-finetuned

This model is a fine-tuned version of bert-base-multilingual-cased on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.5456
Accuracy: 0.8309
F1: 0.8792

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: 5e-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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	459	0.5439	0.7549	0.8413
0.6021	2.0	918	0.5474	0.8039	0.8701
0.4386	3.0	1377	0.5456	0.8309	0.8792

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 14, 2023
Updated: Oct 24, 2023