distilbert-base-uncased-finetuned-emotion

drigb/distilbert-base-uncased-finetuned-emotion

distilbert-base-uncased-finetuned-emotion is a text classification model from drigb. 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: Mar 12, 2023
Updated: Mar 12, 2023
SHA: d4880679

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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 an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1483
Accuracy: 0.934
F1: 0.9341

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	125	0.1815	0.925	0.9248
0.198	2.0	250	0.1619	0.932	0.9320
0.198	3.0	375	0.1499	0.938	0.9384
0.1077	4.0	500	0.1483	0.934	0.9341

Framework versions

Transformers 4.26.1
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 12, 2023
Updated: Mar 12, 2023