m-bert

Rudra03/m-bert

m-bert is a token classification model from Rudra03. Use it when you need labels on individual words, such as names. 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: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jul 19, 2024
Updated: Jul 20, 2024
SHA: c34f7d18

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Base models

google-bert/bert-base-multilingual-cased

Model card

From the Hugging Face model README

m-bert

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

Loss: 0.3141
Precison: 0.8543
Recall: 0.8566
F1: 0.8554
Accuracy: 0.8594
Jaccard: 0.7848

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precison	Recall	F1	Accuracy	Jaccard
0.4088	1.0	1513	0.3141	0.8543	0.8566	0.8554	0.8594	0.7848
0.3328	2.0	3026	0.3161	0.8685	0.8530	0.8587	0.8656	0.8018
0.2521	3.0	4539	0.3444	0.8729	0.8700	0.8714	0.8758	0.8105

Framework versions

Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 19, 2024
Updated: Jul 20, 2024