banglabert-bert-finetuned-ner

Hasanmurad/banglabert-bert-finetuned-ner

banglabert-bert-finetuned-ner is a token classification model from Hasanmurad. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

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At a glance

Task: Token Classification
Library: transformers
Model type: electra
Access: Public
Created: Oct 4, 2022
Updated: Oct 4, 2022
SHA: 9e4bfdf4

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Model card

From the Hugging Face model README

banglabert-bert-finetuned-ner

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

Loss: 1.9526
Precision: 0.0143
Recall: 0.0769
F1: 0.0241
Accuracy: 0.0143

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	Precision	Recall	F1	Accuracy
No log	1.0	1	2.0085	0.0143	0.0769	0.0241	0.0143
No log	2.0	2	1.9711	0.0143	0.0769	0.0241	0.0143
No log	3.0	3	1.9526	0.0143	0.0769	0.0241	0.0143

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: electra
Created: Oct 4, 2022
Updated: Oct 4, 2022