distilbert-base-uncased-finetuned-ner

luciferlizard/distilbert-base-uncased-finetuned-ner

distilbert-base-uncased-finetuned-ner is a token classification model from luciferlizard. 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: distilbert
Access: Public
Created: Feb 3, 2023
Updated: Apr 4, 2023
SHA: db06eeaf

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Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-ner

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

Loss: 0.2952
Precision: 0.8627
Recall: 0.8756
F1: 0.8691
Accuracy: 0.9066

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.9939	1.0	625	0.4826	0.7474	0.7649	0.7560	0.8316
0.5315	2.0	1250	0.3384	0.8525	0.8543	0.8534	0.8940
0.3729	3.0	1875	0.2952	0.8627	0.8756	0.8691	0.9066

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu116
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Feb 3, 2023
Updated: Apr 4, 2023