hmBERT-CoNLL-cp3

emilys/hmBERT-CoNLL-cp3

hmBERT-CoNLL-cp3 is a token classification model from emilys. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Oct 18, 2022
Updated: Oct 19, 2022
SHA: 49cd81f8

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Datasets

conll2003

Model card

From the Hugging Face model README

hmBERT-CoNLL-cp3

This model is a fine-tuned version of dbmdz/bert-base-historic-multilingual-cased on the conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.0572
Precision: 0.9121
Recall: 0.9243
F1: 0.9182
Accuracy: 0.9862

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
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
No log	0.06	25	0.4115	0.3643	0.3728	0.3685	0.9007
No log	0.11	50	0.2243	0.6393	0.6908	0.6641	0.9460
No log	0.17	75	0.1617	0.7319	0.7637	0.7475	0.9580
No log	0.23	100	0.1544	0.7282	0.7637	0.7455	0.9585
No log	0.28	125	0.1341	0.7595	0.8117	0.7847	0.9644
No log	0.34	150	0.1221	0.7980	0.8251	0.8114	0.9693
No log	0.4	175	0.1013	0.7968	0.8344	0.8152	0.9719
No log	0.46	200	0.1076	0.8265	0.8403	0.8333	0.9732
No log	0.51	225	0.0883	0.8453	0.8635	0.8543	0.9763
No log	0.57	250	0.0973	0.8439	0.8633	0.8535	0.9763
No log	0.63	275	0.0883	0.8497	0.8655	0.8575	0.9765
No log	0.68	300	0.0879	0.8462	0.8642	0.8551	0.9766
No log	0.74	325	0.0781	0.8592	0.8834	0.8711	0.9787
No log	0.8	350	0.0725	0.8697	0.8928	0.8811	0.9803
No log	0.85	375	0.0755	0.8687	0.8943	0.8813	0.9807
No log	0.91	400	0.0666	0.8781	0.9004	0.8891	0.9822
No log	0.97	425	0.0658	0.8877	0.8995	0.8936	0.9823
No log	1.03	450	0.0645	0.8951	0.9036	0.8993	0.9837
No log	1.08	475	0.0697	0.8864	0.9039	0.8951	0.9831
0.1392	1.14	500	0.0688	0.8824	0.8994	0.8908	0.9824
0.1392	1.2	525	0.0681	0.8950	0.9049	0.8999	0.9827
0.1392	1.25	550	0.0676	0.8855	0.8977	0.8915	0.9823
0.1392	1.31	575	0.0618	0.8940	0.9088	0.9014	0.9842
0.1392	1.37	600	0.0644	0.8945	0.9076	0.9010	0.9840
0.1392	1.42	625	0.0641	0.8936	0.9086	0.9010	0.9837
0.1392	1.48	650	0.0619	0.8969	0.9120	0.9044	0.9846
0.1392	1.54	675	0.0608	0.9045	0.9105	0.9075	0.9848
0.1392	1.59	700	0.0624	0.9038	0.9143	0.9091	0.9851
0.1392	1.65	725	0.0596	0.9062	0.9170	0.9116	0.9852
0.1392	1.71	750	0.0580	0.8995	0.9143	0.9069	0.9848
0.1392	1.77	775	0.0582	0.9082	0.9172	0.9127	0.9858
0.1392	1.82	800	0.0588	0.9024	0.9179	0.9101	0.9852
0.1392	1.88	825	0.0592	0.9020	0.9219	0.9119	0.9856
0.1392	1.94	850	0.0600	0.9054	0.9182	0.9118	0.9852
0.1392	1.99	875	0.0568	0.9068	0.9202	0.9135	0.9861
0.1392	2.05	900	0.0571	0.9131	0.9212	0.9171	0.9861
0.1392	2.11	925	0.0577	0.9110	0.9204	0.9157	0.9858
0.1392	2.16	950	0.0605	0.9127	0.9243	0.9185	0.9860
0.1392	2.22	975	0.0575	0.9109	0.9224	0.9166	0.9867
0.0392	2.28	1000	0.0572	0.9121	0.9243	0.9182	0.9862
0.0392	2.33	1025	0.0567	0.9171	0.9253	0.9212	0.9870
0.0392	2.39	1050	0.0570	0.9193	0.9295	0.9244	0.9871
0.0392	2.45	1075	0.0584	0.9155	0.9276	0.9215	0.9867
0.0392	2.51	1100	0.0591	0.9168	0.9286	0.9227	0.9867
0.0392	2.56	1125	0.0577	0.9182	0.9312	0.9246	0.9874
0.0392	2.62	1150	0.0570	0.9184	0.9283	0.9233	0.9870
0.0392	2.68	1175	0.0563	0.9191	0.9298	0.9245	0.9872
0.0392	2.73	1200	0.0565	0.9180	0.9313	0.9246	0.9872
0.0392	2.79	1225	0.0559	0.9190	0.9298	0.9244	0.9873
0.0392	2.85	1250	0.0562	0.9185	0.9293	0.9239	0.9873
0.0392	2.9	1275	0.0564	0.9175	0.9285	0.9230	0.9872
0.0392	2.96	1300	0.0563	0.9181	0.9295	0.9237	0.9873

Framework versions

Transformers 4.20.1
Pytorch 1.12.0
Datasets 2.4.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Oct 18, 2022
Updated: Oct 19, 2022