distilbert-finetuned-emotion

hemanthkotaprolu/distilbert-finetuned-emotion

distilbert-finetuned-emotion is a text classification model from hemanthkotaprolu. 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: Jun 28, 2024
Updated: Jun 28, 2024
SHA: e323a556

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Base models

Datasets

emotion

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-emotion

This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset by following the book Natural Language Processing with Transformers by Leandro von Werra, Lewis Tunstall, and Thomas Wolf. It achieves the following results on the evaluation set:

Loss: 0.4459
Accuracy: 0.936
F1: 0.9358

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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	125	0.5699	0.9285	0.9299
No log	2.0	250	0.4599	0.93	0.9301
No log	3.0	375	0.4459	0.936	0.9358

Framework versions

Transformers 4.41.2
Pytorch 2.2.0a0+81ea7a4
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 28, 2024
Updated: Jun 28, 2024