distilbert-base-uncased_new_ner_format_fn

bisoye/distilbert-base-uncased_new_ner_format_fn

distilbert-base-uncased_new_ner_format_fn is a token classification model from bisoye. 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. --

Downloads · 30 days

21% of all-time downloads

All-time downloads

Public

Parameters

66.4M

1.6 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors265 MB · 100%

At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 15, 2024
Updated: Sep 15, 2024
SHA: 2a00c1a6

Try a prompt

Base models

Model card

From the Hugging Face model README

distilbert-base-uncased_new_ner_format_fn

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

Loss: 0.1584
Wer: 0.0273

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: 4
eval_batch_size: 4
seed: 1010
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0027	1.0	76	0.1432	0.0266
0.0011	2.0	152	0.1584	0.0273

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 15, 2024
Updated: Sep 15, 2024