my_awesome_wnut_model

Risheeb/my_awesome_wnut_model

my_awesome_wnut_model is a token classification model from Risheeb. 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 11, 2025
Updated: Mar 12, 2025
SHA: 2b78dc06

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Base models

distilbert/distilbert-base-uncased

Datasets

wnut_17

Model card

From the Hugging Face model README

my_awesome_wnut_model

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the wnut_17 dataset.

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: 3e-05
train_batch_size: 30
eval_batch_size: 30
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	114	0.2802	0.5729	0.2660	0.3633	0.9396

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 11, 2025
Updated: Mar 12, 2025