distilbert-base-uncased-finetuned-ner

algiraldohe/distilbert-base-uncased-finetuned-ner

distilbert-base-uncased-finetuned-ner is a token classification model from algiraldohe. 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: Jun 23, 2023
Updated: Jun 23, 2023
SHA: d6f3e940

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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: 0.0078
Precision: 0.9842
Recall: 0.9896
F1: 0.9869
Accuracy: 0.9984

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
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
0.0043	1.0	1134	0.0085	0.9784	0.9857	0.9820	0.9980
0.0025	2.0	2268	0.0078	0.9828	0.9889	0.9858	0.9983
0.0013	3.0	3402	0.0078	0.9842	0.9896	0.9869	0.9984

Framework versions

Transformers 4.29.1
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 23, 2023
Updated: Jun 23, 2023