mobilebert_sa_GLUE_Experiment_logit_kd_rte_256

gokuls/mobilebert_sa_GLUE_Experiment_logit_kd_rte_256

mobilebert_sa_GLUE_Experiment_logit_kd_rte_256 is a text classification model from gokuls. 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: mobilebert
Access: Public
Created: Jan 30, 2023
Updated: Jan 30, 2023
SHA: 6a678037

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Datasets

glue

Model card

From the Hugging Face model README

mobilebert_sa_GLUE_Experiment_logit_kd_rte_256

This model is a fine-tuned version of google/mobilebert-uncased on the GLUE RTE dataset. It achieves the following results on the evaluation set:

Loss: 0.3915
Accuracy: 0.5271

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: 5e-05
train_batch_size: 128
eval_batch_size: 128
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4089	1.0	20	0.3932	0.5271
0.4081	2.0	40	0.3915	0.5271
0.4075	3.0	60	0.3918	0.5271
0.4074	4.0	80	0.3925	0.5271
0.4073	5.0	100	0.3924	0.5271
0.4067	6.0	120	0.3918	0.5271
0.4036	7.0	140	0.3962	0.5126

Framework versions

Transformers 4.26.0
Pytorch 1.14.0a0+410ce96
Datasets 2.9.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: mobilebert
License: apache-2.0
Languages: en
Created: Jan 30, 2023
Updated: Jan 30, 2023