office-character

kearney/office-character

office-character is a text classification model from kearney. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 1, 2023
Updated: Sep 6, 2023
SHA: bdfcdd92

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Base models

Model card

From the Hugging Face model README

office-character

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.4745
Accuracy: 0.1565
F1: 0.1477

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: 5e-05
train_batch_size: 20
eval_batch_size: 20
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
2.5676	0.26	100	2.5803	0.0774	0.0111
2.5531	0.51	200	2.5176	0.1252	0.0967
2.5032	0.77	300	2.4914	0.1322	0.1155
2.4291	1.03	400	2.4709	0.1391	0.1223
2.2983	1.28	500	2.4680	0.1504	0.1415
2.2439	1.54	600	2.4774	0.1478	0.1415
2.1867	1.79	700	2.4745	0.1565	0.1477

Framework versions

Transformers 4.32.1
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 1, 2023
Updated: Sep 6, 2023