distilbert-base-uncased-finetuned-emotion

maltheberk/distilbert-base-uncased-finetuned-emotion

distilbert-base-uncased-finetuned-emotion is a machine learning model from maltheberk. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 30, 2024
Updated: Oct 24, 2024
SHA: 8e2717d2

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: 0.1551
Accuracy: 0.94
F1: 0.9403

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7971	1.0	250	0.2644	0.9095	0.9085
0.2075	2.0	500	0.1737	0.9365	0.9371
0.1394	3.0	750	0.1613	0.937	0.9373
0.1083	4.0	1000	0.1478	0.9365	0.9364
0.0893	5.0	1250	0.1507	0.937	0.9370
0.0748	6.0	1500	0.1484	0.94	0.9393
0.0595	7.0	1750	0.1551	0.94	0.9403

Framework versions

Transformers 4.16.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.19.1

Type: distilbert
License: apache-2.0
Created: Sep 30, 2024
Updated: Oct 24, 2024