distilbert-base-uncased-finetuned-ner

saideekshith/distilbert-base-uncased-finetuned-ner

distilbert-base-uncased-finetuned-ner is a token classification model from saideekshith. 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: Nov 20, 2022
Updated: Nov 20, 2022
SHA: fa1514b3

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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 the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3610
Precision: 0.8259
Recall: 0.7483
F1: 0.7852
Accuracy: 0.9283

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: 4e-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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	234	0.2604	0.8277	0.7477	0.7856	0.9292
No log	2.0	468	0.3014	0.8018	0.7536	0.7770	0.9263
0.2221	3.0	702	0.3184	0.8213	0.7575	0.7881	0.9296
0.2221	4.0	936	0.3610	0.8259	0.7483	0.7852	0.9283

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Nov 20, 2022
Updated: Nov 20, 2022