mobilebert_sa_GLUE_Experiment_mnli_128 – AI Model by gokuls | AlphaNeural AI

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gokuls/
mobilebert_sa_GLUE_Experiment_mnli_128

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text-classification

generated_from_trainer

autotrain_compatible

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mobilebert_sa_GLUE_Experiment_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: 0.8825
Accuracy: 0.5957

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
1.0129	1.0	3068	0.9529	0.5438
0.9284	2.0	6136	0.9266	0.5593
0.8999	3.0	9204	0.9055	0.5775
0.8803	4.0	12272	0.8951	0.5854
0.8637	5.0	15340	0.8991	0.5886
0.8472	6.0	18408	0.8907	0.5913
0.8309	7.0	21476	0.8940	0.5928
0.814	8.0	24544	0.8880	0.5988
0.7988	9.0	27612	0.8776	0.6022
0.7825	10.0	30680	0.8958	0.6022
0.7662	11.0	33748	0.8835	0.6061
0.7504	12.0	36816	0.9004	0.6041
0.7359	13.0	39884	0.9252	0.6
0.7204	14.0	42952	0.9131	0.6007

Framework versions

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