cuenb-mnli

joey234/cuenb-mnli

cuenb-mnli is a text classification model from joey234. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Oct 13, 2022
Updated: Oct 14, 2022
SHA: 049ab6d2

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Datasets

glue

Model card

From the Hugging Face model README

randomcomb_mlm_ep5_mnli

This model is a fine-tuned version of cuenb on the GLUE MNLI dataset. It achieves the following results on the evaluation set:

Loss: 0.4416
Accuracy: 0.8616

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: 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
0.5569	0.41	5000	0.4415	0.8273
0.4598	0.81	10000	0.4234	0.8425
0.3832	1.22	15000	0.4398	0.8475
0.3314	1.63	20000	0.4137	0.8494
0.3158	2.04	25000	0.4484	0.8527
0.2294	2.44	30000	0.4471	0.8552
0.2283	2.85	35000	0.4541	0.8557

Framework versions

Transformers 4.21.0.dev0
Pytorch 1.8.0
Datasets 1.18.3
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: roberta
Languages: en
Created: Oct 13, 2022
Updated: Oct 14, 2022