bart-base-finetuned-mrpc

VitaliiVrublevskyi/bart-base-finetuned-mrpc

bart-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. The card lists the license as apache-2.0.

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

Downloads · 30 days

9% of all-time downloads

All-time downloads

207

Public

Repo size

16.8 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin560 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bart
Access: Public
Created: Sep 10, 2023
Updated: Sep 24, 2023
SHA: 227e037e

Try a prompt

Datasets

glue

Model card

From the Hugging Face model README

bart-base-finetuned-mrpc

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

Loss: 0.3674
F1: 0.9062
Accuracy: 0.8676

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: 45
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
No log	1.0	115	0.4762	0.8663	0.7966
No log	2.0	230	0.3451	0.9019	0.8603
No log	3.0	345	0.3229	0.9028	0.8627
No log	4.0	460	0.3236	0.9014	0.8627
0.3737	5.0	575	0.3674	0.9062	0.8676

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: bart
License: apache-2.0
Created: Sep 10, 2023
Updated: Sep 24, 2023