ibert-roberta-base-finetuned-mrpc

VitaliiVrublevskyi/ibert-roberta-base-finetuned-mrpc

ibert-roberta-base-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.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: ibert
Access: Public
Created: Sep 14, 2023
Updated: Sep 14, 2023
SHA: 90757378

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Datasets

glue

Model card

From the Hugging Face model README

ibert-roberta-base-finetuned-mrpc

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

Loss: 0.3775
Accuracy: 0.8578
F1: 0.8953

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	0.4043	0.8309	0.8821
No log	2.0	230	0.3885	0.8456	0.8927
No log	3.0	345	0.3775	0.8578	0.8953

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: ibert
Created: Sep 14, 2023
Updated: Sep 14, 2023