distilbert-base-uncased_emotion_ft_0416

Chris2me/distilbert-base-uncased_emotion_ft_0416

distilbert-base-uncased_emotion_ft_0416 is a text classification model from Chris2me. 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: Jul 30, 2024
Updated: Jul 30, 2024
SHA: 479993ea

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Base models

Datasets

emotion

Model card

From the Hugging Face model README

distilbert-base-uncased_emotion_ft_0416

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: 0.1420
Accuracy: 0.9375
F1: 0.9376
Precision: 0.9077

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision
0.2093	1.0	250	0.1715	0.9345	0.9349	0.9042
0.1325	2.0	500	0.1523	0.9335	0.9340	0.8994
0.1017	3.0	750	0.1437	0.9365	0.9369	0.9029
0.08	4.0	1000	0.1420	0.9375	0.9376	0.9077

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 30, 2024
Updated: Jul 30, 2024