my_awesome_wnut_model

danstinga/my_awesome_wnut_model

my_awesome_wnut_model is a token classification model from danstinga. 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: Mar 30, 2023
Updated: Mar 30, 2023
SHA: e8a022c3

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Datasets

wnut_17

Model card

From the Hugging Face model README

my_awesome_wnut_model

This model is a fine-tuned version of distilbert-base-uncased on the wnut_17 dataset. It achieves the following results on the evaluation set:

Loss: 0.2754
Precision: 0.56
Recall: 0.2854
F1: 0.3781
Accuracy: 0.9407

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	213	0.2826	0.5246	0.2475	0.3363	0.9384
No log	2.0	426	0.2754	0.56	0.2854	0.3781	0.9407

Framework versions

Transformers 4.27.4
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 30, 2023
Updated: Mar 30, 2023