mobilebert_add_GLUE_Experiment_sst2 – AI Model by gokuls | AlphaNeural AI

You can deploy this model and start earning money today!

gokuls/
mobilebert_add_GLUE_Experiment_sst2

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

mobilebert_add_GLUE_Experiment_sst2

This model is a fine-tuned version of google/mobilebert-uncased on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

Loss: 0.4671
Accuracy: 0.7970

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
0.6635	1.0	527	0.6994	0.5390
0.5959	2.0	1054	0.6921	0.5665
0.5684	3.0	1581	0.7082	0.5516
0.5544	4.0	2108	0.6883	0.5619
0.5471	5.0	2635	0.6938	0.5940
0.5414	6.0	3162	0.7045	0.5803
0.5381	7.0	3689	0.7354	0.5654
0.5338	8.0	4216	0.7316	0.5826
0.3529	9.0	4743	0.4671	0.7970
0.2415	10.0	5270	0.4722	0.7982
0.2075	11.0	5797	0.4797	0.8062
0.1862	12.0	6324	0.5134	0.7993
0.1724	13.0	6851	0.5256	0.7993
0.1662	14.0	7378	0.5706	0.8028

Framework versions

Transformers 4.26.0
Pytorch 1.14.0a0+410ce96
Datasets 2.8.0
Tokenizers 0.13.2