favs_token_classification_v2

nguyenkhoa2407/favs_token_classification_v2

favs_token_classification_v2 is a token classification model from nguyenkhoa2407. 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: Nov 11, 2022
Updated: Nov 18, 2022
SHA: d8ab289d

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Datasets

token_classification_v2

Model card

From the Hugging Face model README

favs_token_classification_v2

This model is a fine-tuned version of bert-base-cased on the token_classification_v2 dataset. It achieves the following results on the evaluation set:

Loss: 0.5498
Precision: 0.6610
Recall: 0.8417
F1: 0.7405
Accuracy: 0.8575

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: 1.5e-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
2.2225	1.0	13	1.9093	0.3735	0.2230	0.2793	0.3808
1.9616	2.0	26	1.6124	0.3101	0.3525	0.3300	0.4877
1.7778	3.0	39	1.3562	0.3632	0.4964	0.4195	0.6219
1.4003	4.0	52	1.1595	0.4278	0.5755	0.4908	0.6685
1.2374	5.0	65	1.0260	0.4462	0.6259	0.5210	0.6904
1.1184	6.0	78	0.9223	0.4895	0.6691	0.5653	0.7205
0.8801	7.0	91	0.8179	0.5027	0.6763	0.5767	0.7397
0.8246	8.0	104	0.7591	0.5543	0.7338	0.6316	0.7699
0.7177	9.0	117	0.7037	0.5683	0.7482	0.6460	0.7890
0.6277	10.0	130	0.6652	0.5870	0.7770	0.6687	0.8
0.5744	11.0	143	0.6344	0.6011	0.7914	0.6832	0.8164
0.528	12.0	156	0.6117	0.6292	0.8058	0.7066	0.8329
0.4981	13.0	169	0.5919	0.6348	0.8129	0.7129	0.8384
0.4423	14.0	182	0.5841	0.6461	0.8273	0.7256	0.8438
0.4864	15.0	195	0.5781	0.6461	0.8273	0.7256	0.8521
0.3975	16.0	208	0.5677	0.6517	0.8345	0.7319	0.8548
0.3846	17.0	221	0.5563	0.6517	0.8345	0.7319	0.8548
0.3729	18.0	234	0.5503	0.6610	0.8417	0.7405	0.8575
0.3367	19.0	247	0.5504	0.6610	0.8417	0.7405	0.8575
0.3492	20.0	260	0.5498	0.6610	0.8417	0.7405	0.8575

Framework versions

Transformers 4.21.1
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 11, 2022
Updated: Nov 18, 2022