mobilebert_sa_GLUE_Experiment_logit_kd_mnli_128 – AI Model by gokuls | AlphaNeural AI

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gokuls/
mobilebert_sa_GLUE_Experiment_logit_kd_mnli_128

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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mobilebert_sa_GLUE_Experiment_logit_kd_mnli_128

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: 1.2689
Accuracy: 0.5950

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
1.6825	1.0	3068	1.4581	0.5256
1.4941	2.0	6136	1.3516	0.5680
1.4199	3.0	9204	1.3259	0.5712
1.3747	4.0	12272	1.3024	0.5856
1.34	5.0	15340	1.2875	0.5931
1.3087	6.0	18408	1.2730	0.5928
1.2769	7.0	21476	1.2845	0.5916
1.246	8.0	24544	1.2750	0.5965
1.2166	9.0	27612	1.2651	0.6020
1.1883	10.0	30680	1.2773	0.6043
1.1604	11.0	33748	1.2555	0.6011
1.1329	12.0	36816	1.2792	0.5991
1.1074	13.0	39884	1.2891	0.5986
1.0812	14.0	42952	1.2889	0.5947
1.0577	15.0	46020	1.2871	0.5970
1.0338	16.0	49088	1.3296	0.6026

Framework versions

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