mobilebert_sa_GLUE_Experiment_logit_kd_mnli – AI Model by gokuls | AlphaNeural AI

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gokuls/
mobilebert_sa_GLUE_Experiment_logit_kd_mnli

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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mobilebert_sa_GLUE_Experiment_logit_kd_mnli

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

Loss: 1.1966
Accuracy: 0.6173

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
1.6232	1.0	3068	1.3870	0.5505
1.4341	2.0	6136	1.3186	0.5834
1.3724	3.0	9204	1.2819	0.5943
1.3249	4.0	12272	1.2702	0.5982
1.2788	5.0	15340	1.2359	0.6031
1.2302	6.0	18408	1.2008	0.6193
1.1842	7.0	21476	1.1991	0.6222
1.1441	8.0	24544	1.1839	0.6202
1.1057	9.0	27612	1.1861	0.6244
1.0715	10.0	30680	1.1755	0.6250
1.0386	11.0	33748	1.1972	0.6313
1.0066	12.0	36816	1.2149	0.6276
0.9767	13.0	39884	1.2187	0.6193
0.9482	14.0	42952	1.2004	0.6226
0.921	15.0	46020	1.2093	0.6194

Framework versions

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