deberta-base-fine-tuned-ner – AI Model by geckos | AlphaNeural AI

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geckos/
deberta-base-fine-tuned-ner

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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deberta-base-finetuned-ner

This model is a fine-tuned version of microsoft/deberta-base on the conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.0501
Precision: 0.9563
Recall: 0.9652
F1: 0.9608
Accuracy: 0.9899

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1419	1.0	878	0.0628	0.9290	0.9288	0.9289	0.9835
0.0379	2.0	1756	0.0466	0.9456	0.9567	0.9511	0.9878
0.0176	3.0	2634	0.0473	0.9539	0.9575	0.9557	0.9890
0.0098	4.0	3512	0.0468	0.9570	0.9635	0.9603	0.9896
0.0043	5.0	4390	0.0501	0.9563	0.9652	0.9608	0.9899

Framework versions

Transformers 4.11.3
Pytorch 1.9.0+cu111
Datasets 1.12.1
Tokenizers 0.10.3