tiny-mlm-glue-mrpc-target-glue-rte

muhtasham/tiny-mlm-glue-mrpc-target-glue-rte

tiny-mlm-glue-mrpc-target-glue-rte 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

2% of all-time downloads

All-time downloads

363

Public

Repo size

87.8 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin17.6 MB · 95%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jan 8, 2023
Updated: Jan 8, 2023
SHA: b8ce32b0

Try a prompt

Model card

From the Hugging Face model README

tiny-mlm-glue-mrpc-target-glue-rte

This model is a fine-tuned version of muhtasham/tiny-mlm-glue-mrpc on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2201
Accuracy: 0.6101

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
0.6409	6.41	500	0.6648	0.6209
0.4327	12.82	1000	0.8199	0.6173
0.2663	19.23	1500	1.0143	0.5921
0.1606	25.64	2000	1.2201	0.6101

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 8, 2023
Updated: Jan 8, 2023