distilroberta-base-mrpc-glue

LeonelValencia/distilroberta-base-mrpc-glue

distilroberta-base-mrpc-glue is a text classification model from LeonelValencia. 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. --

Downloads · 30 days

3% of all-time downloads

All-time downloads

279

Public

Parameters

82.1M

1.3 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors328 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: roberta
Access: Public
Created: Apr 28, 2024
Updated: Apr 28, 2024
SHA: f8c29c11

Try a prompt

Base models

Model card

From the Hugging Face model README

distilroberta-base-mrpc-glue

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

Loss: 0.7777
Accuracy: 0.8358
F1: 0.8810

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
0.3807	1.0893	500	0.7777	0.8358	0.8810
0.245	2.1786	1000	0.8901	0.8382	0.8846

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Apr 28, 2024
Updated: Apr 28, 2024