BulBERT-ner-udep-5epochs

mor40/BulBERT-ner-udep-5epochs

BulBERT-ner-udep-5epochs 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 15, 2023
Updated: Oct 15, 2023
SHA: 79a4ca27

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Base models

mor40/BulBERT-chitanka-model

Datasets

bgglue

Model card

From the Hugging Face model README

BulBERT-ner-udep-5epochs

This model is a fine-tuned version of mor40/BulBERT-chitanka-model on the bgglue dataset. It achieves the following results on the evaluation set:

Loss: 0.1089
Precision: 0.9753
Recall: 0.9753
F1: 0.9753
Accuracy: 0.9778

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
0.1134	1.0	1114	0.0996	0.9674	0.9673	0.9673	0.9721
0.0578	2.0	2228	0.0933	0.9728	0.9722	0.9725	0.9760
0.0321	3.0	3342	0.0993	0.9739	0.9746	0.9743	0.9769
0.0178	4.0	4456	0.1054	0.9746	0.9750	0.9748	0.9776
0.0096	5.0	5570	0.1089	0.9753	0.9753	0.9753	0.9778

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 15, 2023
Updated: Oct 15, 2023