bert-finetuned-tmvar-corpus

Salvatore/bert-finetuned-tmvar-corpus

bert-finetuned-tmvar-corpus is a token classification model from Salvatore. Use it when you need labels on individual words, such as names. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Oct 5, 2022
Updated: Oct 6, 2022
SHA: 3f0cbc57

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Model card

From the Hugging Face model README

bert-finetuned-tmvar-corpus

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0002
I F1: 1.0
S F1: 1.0
M F1: 0.9994
P F1: 0.9994
R F1: 1.0
D F1: 1.0
T F1: 1.0
F F1: 1.0
W F1: 0.9986
A F1: 0.9977
Precision: 0.9988
Recall: 0.9997
F1: 0.9993
Accuracy: 1.0000

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	I F1	S F1	M F1	P F1	R F1	D F1	T F1	F F1	W F1	A F1	Precision	Recall	F1	Accuracy
0.0364	1.0	454	0.0250	0.7336	0.0	0.8644	0.8347	0.9246	0.0	0.8854	0.0	0.9041	0.9774	0.8595	0.8618	0.8607	0.9927
0.0371	2.0	908	0.0132	0.7906	0.0	0.9410	0.8785	0.9947	0.0	0.9509	0.4118	0.9615	0.9931	0.9068	0.9236	0.9151	0.9960
0.0084	3.0	1362	0.0074	0.8591	0.8	0.9683	0.9585	0.9894	0.0	0.9677	0.8636	0.9719	0.9954	0.9463	0.9635	0.9548	0.9977
0.0034	4.0	1816	0.0040	0.9205	0.9412	0.9815	0.9735	1.0	0.8	0.9656	0.9778	0.9830	0.9977	0.9636	0.9818	0.9726	0.9987
0.0029	5.0	2270	0.0022	0.9623	0.9412	0.9864	0.9836	0.9947	0.8	0.9837	0.9333	0.9859	0.9977	0.9793	0.9865	0.9829	0.9992
0.003	6.0	2724	0.0024	0.9748	0.9412	0.9797	0.9789	1.0	0.8	0.9887	0.9333	0.9879	0.9954	0.9748	0.9903	0.9825	0.9991
0.0009	7.0	3178	0.0008	0.9874	1.0	0.9936	0.9951	1.0	1.0	0.9975	1.0	0.9936	0.9977	0.9927	0.9959	0.9943	0.9997
0.0002	8.0	3632	0.0004	1.0	1.0	0.9955	0.9976	1.0	1.0	0.9987	1.0	0.9964	0.9977	0.9956	0.9991	0.9974	0.9999
0.0004	9.0	4086	0.0003	1.0	1.0	0.9994	0.9994	1.0	1.0	1.0	1.0	0.9979	0.9977	0.9985	0.9997	0.9991	1.0000
0.0007	10.0	4540	0.0002	1.0	1.0	0.9994	0.9994	1.0	1.0	1.0	1.0	0.9986	0.9977	0.9988	0.9997	0.9993	1.0000

Framework versions

Transformers 4.18.0
Pytorch 1.12.1
Datasets 2.5.1
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
Created: Oct 5, 2022
Updated: Oct 6, 2022