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

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

tiny-mlm-glue-rte-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. --

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Model card

From the Hugging Face model README

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

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

Loss: 1.0186
Accuracy: 0.7328
F1: 0.8143

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
0.5841	4.35	500	0.5459	0.7279	0.8230
0.4421	8.7	1000	0.5767	0.7426	0.8309
0.2968	13.04	1500	0.6520	0.7402	0.8239
0.185	17.39	2000	0.7858	0.7377	0.8231
0.115	21.74	2500	1.0186	0.7328	0.8143

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: Aug 10, 2023