BulBERT-ner-bsnlp

mor40/BulBERT-ner-bsnlp

BulBERT-ner-bsnlp is a token classification model from mor40. 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: bert
Access: Public
Created: Sep 23, 2023
Updated: Oct 15, 2023
SHA: aefa5f68

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Model card

From the Hugging Face model README

BulBERT-ner-bsnlp

This model is a fine-tuned version of mor40/BulBERT-ner-bsnlp on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1443
Precision: 0.7728
Recall: 0.8862
F1: 0.8257
Accuracy: 0.9726

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	91	0.1395	0.7736	0.8690	0.8185	0.9717
No log	2.0	182	0.1386	0.7466	0.8849	0.8099	0.9705
No log	3.0	273	0.1408	0.7695	0.8782	0.8203	0.9726
No log	4.0	364	0.1426	0.7680	0.8851	0.8224	0.9721
No log	5.0	455	0.1443	0.7728	0.8862	0.8257	0.9726

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Token Classification
Library: transformers
Type: bert
Created: Sep 23, 2023
Updated: Oct 15, 2023