BERT_NER_Ep5_PAD_75-finetuned-ner

suwani/BERT_NER_Ep5_PAD_75-finetuned-ner

BERT_NER_Ep5_PAD_75-finetuned-ner is a token classification model from suwani. 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: Mar 2, 2022
Updated: Oct 11, 2021
SHA: aebb3d79

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Model card

From the Hugging Face model README

BERT_NER_Ep5_PAD_75-finetuned-ner

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

Loss: 0.3504
Precision: 0.6469
Recall: 0.7246
F1: 0.6835
Accuracy: 0.9013

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: 16
eval_batch_size: 16
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	288	0.3695	0.5799	0.6200	0.5993	0.8792
0.4695	2.0	576	0.3443	0.5823	0.7252	0.6460	0.8862
0.4695	3.0	864	0.3189	0.6407	0.7030	0.6704	0.8978
0.2184	4.0	1152	0.3458	0.6383	0.7335	0.6826	0.8980
0.2184	5.0	1440	0.3504	0.6469	0.7246	0.6835	0.9013

Framework versions

Transformers 4.11.3
Pytorch 1.9.0+cu111
Datasets 1.12.1
Tokenizers 0.10.3

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 2, 2022
Updated: Oct 11, 2021