zeli-category

laxman-zelibot/zeli-category

zeli-category is a text classification model from laxman-zelibot. 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: Dec 10, 2023
Updated: Dec 10, 2023
SHA: 959a06e0

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Base models

Model card

From the Hugging Face model README

zeli-category

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: 2.8927
Accuracy: 0.4983

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	24	3.3123	0.0833
No log	2.0	48	3.1655	0.2988
No log	3.0	72	3.0240	0.4182
No log	4.0	96	2.9279	0.4795
No log	5.0	120	2.8927	0.4983

Framework versions

Transformers 4.32.1
Pytorch 2.1.1
Datasets 2.12.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Dec 10, 2023
Updated: Dec 10, 2023