distilbert-base-ner-058 – AI Model by NguyenVanHieu1605 | AlphaNeural AI

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NguyenVanHieu1605/
distilbert-base-ner-058

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token-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert-base-ner-058

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

Loss: 0.0768

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: 16
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
0.2351	1.0	878	0.0634
0.0446	2.0	1756	0.0549
0.026	3.0	2634	0.0601
0.0149	4.0	3512	0.0631
0.0099	5.0	4390	0.0709
0.0071	6.0	5268	0.0694
0.0046	7.0	6146	0.0753
0.0037	8.0	7024	0.0762
0.0024	9.0	7902	0.0767
0.0023	10.0	8780	0.0768

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1