Cybonto-distilbert-base-uncased-finetuned-ner-FewNerd – AI Model by theResearchNinja | AlphaNeural AI

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Cybonto-distilbert-base-uncased-finetuned-ner-FewNerd

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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Cybonto-distilbert-base-uncased-finetuned-ner-FewNerd

This model is a fine-tuned version of distilbert-base-uncased on the few_nerd dataset. It achieves the following results on the evaluation set:

Loss: 0.2091
Precision: 0.7422
Recall: 0.7830
F1: 0.7621
Accuracy: 0.9386

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: 32
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
0.1964	1.0	4118	0.1946	0.7302	0.7761	0.7525	0.9366
0.1685	2.0	8236	0.1907	0.7414	0.7776	0.7591	0.9384
0.145	3.0	12354	0.1967	0.7454	0.7816	0.7631	0.9388
0.1263	4.0	16472	0.2021	0.7402	0.7845	0.7617	0.9384
0.1114	5.0	20590	0.2091	0.7422	0.7830	0.7621	0.9386

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1