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Minjullle/
wikineural-multilingual-ner-ner

Name: wikineural-multilingual-ner-ner
Availability: InStock

generated_from_trainer

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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wikineural-multilingual-ner-ner

This model is a fine-tuned version of Babelscape/wikineural-multilingual-ner on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0333
Precision: 0.9718
Recall: 0.9761
F1: 0.9739
Accuracy: 0.9937

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: 32
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	Precision	Recall	F1	Accuracy
0.1605	1.0	477	0.0787	0.8892	0.9112	0.9001	0.9758
0.0816	2.0	954	0.0583	0.9188	0.9324	0.9256	0.9821
0.0533	3.0	1431	0.0474	0.9374	0.9494	0.9434	0.9865
0.0367	4.0	1908	0.0384	0.9555	0.9628	0.9591	0.9899
0.0272	5.0	2385	0.0363	0.9633	0.9667	0.9650	0.9910
0.0193	6.0	2862	0.0348	0.9664	0.9710	0.9687	0.9927
0.0142	7.0	3339	0.0328	0.9710	0.9746	0.9728	0.9931
0.0088	8.0	3816	0.0325	0.9731	0.9761	0.9746	0.9937
0.0069	9.0	4293	0.0332	0.9728	0.9766	0.9747	0.9939
0.0051	10.0	4770	0.0333	0.9718	0.9761	0.9739	0.9937

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Minjullle/wikineural-multilingual-ner-ner

wikineural-multilingual-ner-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Minjullle/
wikineural-multilingual-ner-ner