distilbert-base-uncased-finetuned-emotion

aidiary/distilbert-base-uncased-finetuned-emotion

distilbert-base-uncased-finetuned-emotion is a text classification model from aidiary. 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: Aug 2, 2023
Updated: Aug 2, 2023
SHA: 7df82554

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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. It achieves the following results on the evaluation set:

Loss: 0.1514
Accuracy: 0.9345
F1: 0.9345

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	125	0.4448	0.879	0.8713
0.6963	2.0	250	0.2099	0.922	0.9225
0.6963	3.0	375	0.1763	0.932	0.9324
0.1548	4.0	500	0.1560	0.932	0.9318
0.1548	5.0	625	0.1514	0.9345	0.9345

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.2
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Aug 2, 2023
Updated: Aug 2, 2023