small-vanilla-target-glue-mrpc

muhtasham/small-vanilla-target-glue-mrpc

small-vanilla-target-glue-mrpc is a text classification model from muhtasham. 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

320

Public

Repo size

806 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin115 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jan 9, 2023
Updated: Jan 9, 2023
SHA: 18537afe

Try a prompt

Model card

From the Hugging Face model README

small-vanilla-target-glue-mrpc

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8756
Accuracy: 0.7696
F1: 0.8464

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3976	4.35	500	0.6055	0.7794	0.8469
0.0776	8.7	1000	1.1540	0.7843	0.8585
0.026	13.04	1500	1.3742	0.7892	0.8532
0.0232	17.39	2000	1.5042	0.7819	0.8519
0.011	21.74	2500	1.6290	0.7843	0.8467
0.0132	26.09	3000	1.8756	0.7696	0.8464

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.8.1.dev0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jan 9, 2023
Updated: Jan 9, 2023