distilbert-base-uncased-finetuned-emotion

Lwhieldon/distilbert-base-uncased-finetuned-emotion

distilbert-base-uncased-finetuned-emotion is a text classification model from Lwhieldon. 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.

This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set: - Loss: 0.2185 - Accuracy: 0.928 - F1: 0.9281

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Oct 11, 2022
Updated: Oct 24, 2022
SHA: 873adc49

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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. It achieves the following results on the evaluation set:

Loss: 0.2185
Accuracy: 0.928
F1: 0.9281

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: 64
eval_batch_size: 64
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	Accuracy	F1
0.8374	1.0	250	0.3188	0.9045	0.9012
0.254	2.0	500	0.2185	0.928	0.9281

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cpu
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Oct 11, 2022
Updated: Oct 24, 2022