my_awesome_wnut_model

malduwais/my_awesome_wnut_model

my_awesome_wnut_model is a token classification model from malduwais. 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: Dec 25, 2023
Updated: Dec 25, 2023
SHA: 3b55b916

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Base models

Model card

From the Hugging Face model README

my_awesome_wnut_model

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: 0.2657
Precision: 0.5662
Recall: 0.3290
F1: 0.4162
Accuracy: 0.9429

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	0.2707	0.5826	0.2614	0.3608	0.9396
No log	2.0	426	0.2657	0.5662	0.3290	0.4162	0.9429

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Dec 25, 2023
Updated: Dec 25, 2023