distilbert-base-uncased-finetuned-pos

arygx/distilbert-base-uncased-finetuned-pos

distilbert-base-uncased-finetuned-pos is a token classification model from arygx. 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: Jul 10, 2023
Updated: Jul 19, 2023
SHA: 7ea20ee3

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Datasets

conll2003

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-pos

This model is a fine-tuned version of distilbert-base-uncased on the conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.3227
Precision: 0.9093
Recall: 0.9131
F1: 0.9112
Accuracy: 0.9241

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
0.803	1.0	878	0.3597	0.8983	0.9039	0.9011	0.9171
0.254	2.0	1756	0.3283	0.9067	0.9096	0.9082	0.9225
0.2079	3.0	2634	0.3227	0.9093	0.9131	0.9112	0.9241

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 10, 2023
Updated: Jul 19, 2023