bert-goemotions-10epochs

mpalaval/bert-goemotions-10epochs

bert-goemotions-10epochs is a machine learning model from mpalaval. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Nov 14, 2023
Updated: Nov 15, 2023
SHA: c96fe6a6

Base models

Model card

From the Hugging Face model README

bert-goemotions-10epochs

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: 0.1110
Accuracy Thresh: 0.9619

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Thresh
0.126	1.0	5283	0.1127	0.9619
0.1101	2.0	10566	0.1110	0.9619
0.1051	3.0	15849	0.1111	0.9616
0.1007	4.0	21132	0.1126	0.9613
0.0968	5.0	26415	0.1145	0.9605
0.0932	6.0	31698	0.1160	0.9601
0.0902	7.0	36981	0.1192	0.9593

Framework versions

Transformers 4.35.1
Pytorch 2.1.0+cu118
Tokenizers 0.14.1

Library: transformers
Type: distilbert
License: apache-2.0
Created: Nov 14, 2023
Updated: Nov 15, 2023