BulBERT-ner-wikiann

mor40/BulBERT-ner-wikiann

BulBERT-ner-wikiann 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: Oct 12, 2023
Updated: Oct 15, 2023
SHA: 678b326a

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Base models

mor40/BulBERT-chitanka-model

Model card

From the Hugging Face model README

BulBERT-ner-wikiann

This model is a fine-tuned version of mor40/BulBERT-chitanka-model on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2787
Precision: 0.8050
Recall: 0.8556
F1: 0.8296
Accuracy: 0.9446

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
0.2436	1.0	2030	0.2391	0.7289	0.8071	0.7660	0.9284
0.1601	2.0	4060	0.2230	0.7698	0.8328	0.8001	0.9380
0.102	3.0	6090	0.2441	0.7962	0.8444	0.8196	0.9431
0.0707	4.0	8120	0.2643	0.7998	0.8533	0.8257	0.9444
0.0542	5.0	10150	0.2787	0.8050	0.8556	0.8296	0.9446

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: Oct 12, 2023
Updated: Oct 15, 2023