klue-roberta-base-ner – AI Model by dontgive99 | AlphaNeural AI

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klue-roberta-base-ner

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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klue-roberta-base-ner

This model is a fine-tuned version of klue/roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0291
Precision: 0.9517
Recall: 0.9492
F1: 0.9505
Accuracy: 0.9951

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: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	357	0.0533	0.7734	0.8187	0.7954	0.9891
0.16	2.0	714	0.0389	0.9122	0.9370	0.9244	0.9915
0.0336	3.0	1071	0.0317	0.9330	0.9273	0.9302	0.9930
0.0336	4.0	1428	0.0265	0.9164	0.9405	0.9283	0.9939
0.0165	5.0	1785	0.0286	0.9325	0.9431	0.9377	0.9944
0.0109	6.0	2142	0.0326	0.9458	0.9466	0.9462	0.9947
0.0109	7.0	2499	0.0291	0.9517	0.9492	0.9505	0.9951

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3