pos-ner-tagging-v2

om-ashish-soni/pos-ner-tagging-v2

pos-ner-tagging-v2 is a token classification model from om-ashish-soni. 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: bert
Access: Public
Created: Sep 16, 2023
Updated: Sep 16, 2023
SHA: 064a9b29

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Datasets

conll2003

Model card

From the Hugging Face model README

pos-ner-tagging-v2

This model is a fine-tuned version of om-ashish-soni/pos-ner-tagging-v2 on the conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.6442
Precision: 0.9394
Recall: 0.9408
F1: 0.9401
Accuracy: 0.9270

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3297	1.0	1756	0.4190	0.9189	0.9231	0.9210	0.9051
0.2521	2.0	3512	0.3836	0.9210	0.9300	0.9255	0.9114
0.1932	3.0	5268	0.4155	0.9295	0.9338	0.9316	0.9183
0.1325	4.0	7024	0.3969	0.9328	0.9356	0.9342	0.9211
0.0973	5.0	8780	0.4247	0.9332	0.9367	0.9349	0.9222
0.0799	6.0	10536	0.4606	0.9338	0.9374	0.9356	0.9229
0.0554	7.0	12292	0.4836	0.9333	0.9379	0.9356	0.9239
0.0415	8.0	14048	0.5271	0.9361	0.9391	0.9376	0.9245
0.0285	9.0	15804	0.5363	0.9366	0.9397	0.9381	0.9253
0.022	10.0	17560	0.5653	0.9377	0.9396	0.9387	0.9258
0.0146	11.0	19316	0.5962	0.9374	0.9400	0.9387	0.9259
0.0121	12.0	21072	0.6061	0.9385	0.9401	0.9393	0.9266
0.0085	13.0	22828	0.6263	0.9384	0.9403	0.9394	0.9261
0.0062	14.0	24584	0.6365	0.9381	0.9399	0.9390	0.9259
0.0053	15.0	26340	0.6386	0.9384	0.9402	0.9393	0.9264
0.0042	16.0	28096	0.6442	0.9394	0.9408	0.9401	0.9270

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Sep 16, 2023
Updated: Sep 16, 2023