DistilBERT-finetuned-ner-S800

ViktorDo/DistilBERT-finetuned-ner-S800

DistilBERT-finetuned-ner-S800 is a token classification model from ViktorDo. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jun 13, 2023
Updated: Sep 24, 2023
SHA: 0b2cc6dd

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Base models

Model card

From the Hugging Face model README

DistilBERT-finetuned-ner-S800

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

Loss: 0.0834
Precision: 0.5329
Recall: 0.6129
F1: 0.5701
Accuracy: 0.9689

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	55	0.1363	0.2460	0.2987	0.2698	0.9436
No log	2.0	110	0.0926	0.3943	0.4656	0.4270	0.9636
No log	3.0	165	0.0823	0.4937	0.6059	0.5441	0.9683
No log	4.0	220	0.0802	0.5187	0.5849	0.5498	0.9696
No log	5.0	275	0.0834	0.5329	0.6129	0.5701	0.9689

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 13, 2023
Updated: Sep 24, 2023