distilbert-helpdesk-sentiment

Venkatesh4342/distilbert-helpdesk-sentiment

distilbert-helpdesk-sentiment is a text classification model from Venkatesh4342. 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 11, 2023
Updated: Jun 2, 2024
SHA: a12063ff

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Base models

Model card

From the Hugging Face model README

distilbert-helpdesk-sentiment

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: 0.2184
Accuracy: 0.9444
F1: 0.9438

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: 8
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	0.8850	100	0.3924	0.8333	0.8306
No log	1.7699	200	0.2473	0.9111	0.9099
No log	2.6549	300	0.2417	0.9	0.8965
No log	3.5398	400	0.1576	0.9556	0.9552
0.3432	4.4248	500	0.1598	0.9556	0.9552
0.3432	5.3097	600	0.2184	0.9444	0.9438

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 11, 2023
Updated: Jun 2, 2024