my_awesome_ner_model

BahAdoR0101/my_awesome_ner_model

my_awesome_ner_model is a token classification model from BahAdoR0101. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Oct 20, 2023
Updated: Oct 20, 2023
SHA: 1087cebc

Try a prompt

Base models

dslim/bert-large-NER

Datasets

job-titles

Model card

From the Hugging Face model README

my_awesome_ner_model

This model is a fine-tuned version of dslim/bert-large-NER on the job-titles dataset. It achieves the following results on the evaluation set:

Loss: 0.0080
Precision: 0.9864
Recall: 0.9954
F1: 0.9909
Accuracy: 0.9953

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	18	0.0232	0.9864	0.9954	0.9909	0.9953
No log	2.0	36	0.0080	0.9864	0.9954	0.9909	0.9953

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Oct 20, 2023
Updated: Oct 20, 2023