my_awesome_wnut_model

sh0ji/my_awesome_wnut_model

my_awesome_wnut_model is a machine learning model from sh0ji. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: distilbert
Access: Public
Created: Aug 16, 2024
Updated: Aug 16, 2024
SHA: f4977d88

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. It achieves the following results on the evaluation set:

Loss: 0.2694
Precision: 0.5876
Recall: 0.3327
F1: 0.4249
Accuracy: 0.9431

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	0.2767	0.6061	0.2780	0.3812	0.9398
No log	2.0	426	0.2694	0.5876	0.3327	0.4249	0.9431

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: distilbert
License: apache-2.0
Created: Aug 16, 2024
Updated: Aug 16, 2024