platzi-distilroberta-base-mrpc-glue-aaron-jimenez

platzi/platzi-distilroberta-base-mrpc-glue-aaron-jimenez

platzi-distilroberta-base-mrpc-glue-aaron-jimenez is a text classification model from platzi. 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: roberta
Access: Public
Created: Sep 16, 2023
Updated: Sep 16, 2023
SHA: 66370cb3

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Datasets

glue

Model card

From the Hugging Face model README

platzi-distilroberta-base-mrpc-glue-aaron-jimenez

This model is a fine-tuned version of distilroberta-base on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.6937
Accuracy: 0.8505
F1: 0.8909

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
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
0.563	1.09	500	0.5519	0.8211	0.8665
0.4089	2.18	1000	0.6322	0.8284	0.8704
0.2859	3.27	1500	0.6937	0.8505	0.8909

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Sep 16, 2023
Updated: Sep 16, 2023