small-mlm-snli-target-glue-mrpc

muhtasham/small-mlm-snli-target-glue-mrpc

small-mlm-snli-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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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jan 16, 2023
Updated: Jan 16, 2023
SHA: 6f40470a

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Model card

From the Hugging Face model README

small-mlm-snli-target-glue-mrpc

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

Loss: 2.0653
Accuracy: 0.7672
F1: 0.8435

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
training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3892	4.35	500	0.8390	0.7696	0.8513
0.07	8.7	1000	1.4754	0.7623	0.8407
0.0271	13.04	1500	1.5892	0.7843	0.8523
0.0167	17.39	2000	1.8798	0.7672	0.8440
0.0165	21.74	2500	1.8089	0.7721	0.8463
0.0123	26.09	3000	2.0653	0.7672	0.8435

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 16, 2023
Updated: Jan 16, 2023