distilbert-base-uncased-finetuned-ner_0212

morganchen1007/distilbert-base-uncased-finetuned-ner_0212

distilbert-base-uncased-finetuned-ner_0212 is a token classification model from morganchen1007. 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: Feb 13, 2023
Updated: Feb 16, 2023
SHA: f1a57460

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Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-ner_0212

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: 0.1755
Precision: 0.8894
Recall: 0.9402
F1: 0.9141
Accuracy: 0.9561

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	105	0.4362	0.6638	0.7654	0.7110	0.8662
No log	2.0	210	0.2527	0.7860	0.8686	0.8252	0.9127
No log	3.0	315	0.2411	0.8339	0.8942	0.8630	0.9223
No log	4.0	420	0.1801	0.8444	0.9021	0.8723	0.9403
0.3472	5.0	525	0.1569	0.8470	0.9166	0.8804	0.9439
0.3472	6.0	630	0.1424	0.8643	0.9205	0.8915	0.9531
0.3472	7.0	735	0.1526	0.8764	0.9271	0.9010	0.9476
0.3472	8.0	840	0.1804	0.8826	0.9284	0.9049	0.9452
0.3472	9.0	945	0.1650	0.8809	0.9330	0.9062	0.9504
0.068	10.0	1050	0.1458	0.8819	0.9271	0.9039	0.9574
0.068	11.0	1155	0.1618	0.8810	0.9336	0.9065	0.9511
0.068	12.0	1260	0.1817	0.8865	0.9343	0.9098	0.9489
0.068	13.0	1365	0.1530	0.8890	0.9363	0.912	0.9572
0.068	14.0	1470	0.1643	0.9032	0.9382	0.9204	0.9552
0.0342	15.0	1575	0.1710	0.9016	0.9336	0.9174	0.9550
0.0342	16.0	1680	0.1736	0.8879	0.9369	0.9118	0.9554
0.0342	17.0	1785	0.1722	0.8903	0.9382	0.9136	0.9556
0.0342	18.0	1890	0.1713	0.8848	0.9389	0.9111	0.9525
0.0342	19.0	1995	0.1692	0.88	0.9396	0.9088	0.9573
0.0224	20.0	2100	0.1755	0.8894	0.9402	0.9141	0.9561

Framework versions

Transformers 4.20.1
Pytorch 1.13.0+cu117
Datasets 2.8.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Feb 13, 2023
Updated: Feb 16, 2023