finetuned-bert-mrpc

charanhu/finetuned-bert-mrpc

finetuned-bert-mrpc is a text classification model from charanhu. 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

1% of all-time downloads

All-time downloads

406

Public

Repo size

1.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin433 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jan 18, 2023
Updated: Jan 18, 2023
SHA: c9cf9711

Try a prompt

Datasets

glue

Model card

From the Hugging Face model README

finetuned-bert-mrpc

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

Loss: 0.4148
Accuracy: 0.8603
F1: 0.9036

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5315	1.0	230	0.3698	0.8382	0.8862
0.3	2.0	460	0.3677	0.8431	0.8919
0.1575	3.0	690	0.4148	0.8603	0.9036

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jan 18, 2023
Updated: Jan 18, 2023