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mwarchalowski/
distillbert-names-classifier

Name: distillbert-names-classifier
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

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distillbert-names-data

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

Loss: 0.0855
Accuracy: 0.9833
F1: 0.9767
Precision: 0.9702
Recall: 0.9832

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: 600
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.0283	1.0	703	0.0615	0.9830	0.9763	0.9713	0.9814
0.0238	2.0	1406	0.0723	0.9834	0.9769	0.9695	0.9843
0.0132	3.0	2109	0.0855	0.9833	0.9767	0.9702	0.9832

Framework versions

Transformers 4.38.2
Pytorch 2.2.0
Datasets 2.18.0
Tokenizers 0.15.2

mwarchalowski/distillbert-names-classifier

distillbert-names-data

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mwarchalowski/
distillbert-names-classifier