mobilebert_add_GLUE_Experiment_stsb_128 – AI Model by gokuls | AlphaNeural AI

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gokuls/
mobilebert_add_GLUE_Experiment_stsb_128

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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mobilebert_add_GLUE_Experiment_stsb_128

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

Loss: 2.2820
Pearson: 0.0445
Spearmanr: 0.0342
Combined Score: 0.0393

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	Pearson	Spearmanr	Combined Score
5.0491	1.0	45	2.6735	-0.0094	-0.0099	-0.0097
2.2021	2.0	90	3.1489	0.0389	0.0330	0.0359
2.1522	3.0	135	2.2943	0.0413	0.0270	0.0341
2.125	4.0	180	2.5078	0.0421	0.0274	0.0348
2.1328	5.0	225	2.2820	0.0445	0.0342	0.0393
2.0676	6.0	270	2.3672	0.0464	0.0393	0.0428
2.0545	7.0	315	2.6386	0.0506	0.0463	0.0485
2.0677	8.0	360	2.4397	0.0556	0.0574	0.0565
1.9988	9.0	405	2.4024	0.0601	0.0630	0.0615
1.9683	10.0	450	2.7224	0.0576	0.0646	0.0611

Framework versions

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