distilbert-base-uncased-finetuned-emotions

lucasvmigotto/distilbert-base-uncased-finetuned-emotions

distilbert-base-uncased-finetuned-emotions is a machine learning model from lucasvmigotto. 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: Aug 17, 2024
Updated: Aug 17, 2024
SHA: 6276d213

Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-emotions

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: 0.2148
Accuracy: 0.924
F1 score: 0.9242

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 score
0.8182	1.0	250	0.3006	0.9135	0.9131
0.239	2.0	500	0.2148	0.924	0.9242

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: distilbert
License: apache-2.0
Created: Aug 17, 2024
Updated: Aug 17, 2024