add_BERT_no_pretrain_stsb – AI Model by gokuls | AlphaNeural AI

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gokuls/
add_BERT_no_pretrain_stsb

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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add_BERT_no_pretrain_stsb

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

Loss: 2.3307
Pearson: 0.0719
Spearmanr: 0.0575
Combined Score: 0.0647

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: 4e-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
2.4937	1.0	45	2.6373	0.0410	0.0287	0.0348
2.22	2.0	90	2.4288	0.0740	0.0586	0.0663
2.1554	3.0	135	2.3869	0.0609	0.0498	0.0554
2.0556	4.0	180	2.5740	0.0800	0.0717	0.0759
2.0221	5.0	225	2.4656	0.0849	0.0654	0.0752
2.0403	6.0	270	2.3307	0.0719	0.0575	0.0647
2.1732	7.0	315	2.5174	0.0699	0.0584	0.0641
2.0399	8.0	360	2.5648	0.0718	0.0605	0.0662
2.0765	9.0	405	2.3373	0.0621	0.0491	0.0556
2.0538	10.0	450	2.6402	0.0463	0.0431	0.0447
2.0147	11.0	495	2.4727	0.0540	0.0471	0.0506

Framework versions

Transformers 4.30.2
Pytorch 1.14.0a0+410ce96
Datasets 2.12.0
Tokenizers 0.13.3