platzi-distilroberta-base-mrpc-glue-jdgalvan

platzi/platzi-distilroberta-base-mrpc-glue-jdgalvan

platzi-distilroberta-base-mrpc-glue-jdgalvan 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: Apr 12, 2024
Updated: Apr 12, 2024
SHA: 0051f72b

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Base models

Model card

From the Hugging Face model README

platzi-distilroberta-base-mrpc-glue-jdgalvan

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

Loss: 0.7015
Accuracy: 0.8456
F1: 0.8901

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.528	1.09	500	0.4319	0.8358	0.8827
0.338	2.18	1000	0.7015	0.8456	0.8901

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Apr 12, 2024
Updated: Apr 12, 2024