electra-srb-ner-setimes

Aleksandar/electra-srb-ner-setimes

electra-srb-ner-setimes is a token classification model from Aleksandar. 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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Model card

From the Hugging Face model README

electra-srb-ner-setimes

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

Loss: 0.2804
Precision: 0.8286
Recall: 0.8081
F1: 0.8182
Accuracy: 0.9547

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: 32
eval_batch_size: 8
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	104	0.2981	0.6737	0.6113	0.6410	0.9174
No log	2.0	208	0.2355	0.7279	0.6701	0.6978	0.9307
No log	3.0	312	0.2079	0.7707	0.7062	0.7371	0.9402
No log	4.0	416	0.2078	0.7689	0.7479	0.7582	0.9449
0.2391	5.0	520	0.2089	0.8083	0.7476	0.7767	0.9484
0.2391	6.0	624	0.2199	0.7981	0.7726	0.7851	0.9487
0.2391	7.0	728	0.2528	0.8205	0.7749	0.7971	0.9511
0.2391	8.0	832	0.2265	0.8074	0.8003	0.8038	0.9524
0.2391	9.0	936	0.2843	0.8265	0.7716	0.7981	0.9504
0.0378	10.0	1040	0.2450	0.8024	0.8019	0.8021	0.9520
0.0378	11.0	1144	0.2550	0.8116	0.7986	0.8051	0.9519
0.0378	12.0	1248	0.2706	0.8208	0.7957	0.8081	0.9532
0.0378	13.0	1352	0.2664	0.8040	0.8035	0.8038	0.9530
0.0378	14.0	1456	0.2571	0.8011	0.8110	0.8060	0.9529
0.0099	15.0	1560	0.2673	0.8051	0.8129	0.8090	0.9534
0.0099	16.0	1664	0.2733	0.8074	0.8087	0.8081	0.9529
0.0099	17.0	1768	0.2835	0.8254	0.8074	0.8163	0.9543
0.0099	18.0	1872	0.2771	0.8222	0.8081	0.8151	0.9545
0.0099	19.0	1976	0.2776	0.8237	0.8084	0.8160	0.9546
0.0044	20.0	2080	0.2804	0.8286	0.8081	0.8182	0.9547

Framework versions

Transformers 4.9.2
Pytorch 1.9.0
Datasets 1.11.0
Tokenizers 0.10.1

Task: Token Classification
Library: transformers
Type: electra
Created: Mar 2, 2022
Updated: Sep 12, 2023