electra-small-discriminator-finetuned-mrpc

VitaliiVrublevskyi/electra-small-discriminator-finetuned-mrpc

electra-small-discriminator-finetuned-mrpc is a text classification model from VitaliiVrublevskyi. 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

6% of all-time downloads

All-time downloads

317

Public

Repo size

2.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin54.3 MB · 98%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: electra
Access: Public
Created: Sep 11, 2023
Updated: Sep 14, 2023
SHA: 8b915b5b

Try a prompt

Datasets

glue

Model card

From the Hugging Face model README

electra-small-discriminator-finetuned-mrpc

This model is a fine-tuned version of google/electra-small-discriminator on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.4144
Accuracy: 0.8358
F1: 0.8847

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: 24
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
No log	1.0	115	0.5230	0.7819	0.8562
No log	2.0	230	0.4343	0.8284	0.8805
No log	3.0	345	0.4144	0.8358	0.8847

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: electra
License: apache-2.0
Created: Sep 11, 2023
Updated: Sep 14, 2023