finetuned-NER

Sarthak7777/finetuned-NER

finetuned-NER is a token classification model from Sarthak7777. 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: Oct 11, 2023
Updated: Oct 11, 2023
SHA: f22c3bd8

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Base models

Datasets

xtreme

Model card

From the Hugging Face model README

finetuned-NER

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

Loss: 0.1665
Precision: 0.7896
Recall: 0.8096
F1: 0.7994
Accuracy: 0.9500

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: 64
eval_batch_size: 64
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	313	0.1728	0.7785	0.7946	0.7864	0.9465
No log	2.0	626	0.1665	0.7896	0.8096	0.7994	0.9500

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Oct 11, 2023
Updated: Oct 11, 2023