distilbert_add_GLUE_Experiment_stsb_256 – AI Model by gokuls | AlphaNeural AI

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gokuls/
distilbert_add_GLUE_Experiment_stsb_256

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert_add_GLUE_Experiment_stsb_256

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

Loss: 2.2898
Pearson: 0.0723
Spearmanr: 0.0744
Combined Score: 0.0733

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: 256
eval_batch_size: 256
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr	Combined Score
5.798	1.0	23	3.1859	nan	nan	nan
3.2592	2.0	46	2.3672	nan	nan	nan
2.3588	3.0	69	2.3366	nan	nan	nan
2.1815	4.0	92	2.3354	nan	nan	nan
2.1676	5.0	115	2.3685	0.0701	0.0628	0.0665
2.1604	6.0	138	2.3425	0.0799	0.0728	0.0764
2.1203	7.0	161	2.2898	0.0723	0.0744	0.0733
1.8844	8.0	184	2.7739	0.0606	0.0839	0.0723
1.7797	9.0	207	2.6237	0.0817	0.0949	0.0883
1.7003	10.0	230	2.7269	0.0957	0.1082	0.1020
1.5943	11.0	253	2.6580	0.1212	0.1276	0.1244
1.5603	12.0	276	2.5384	0.1412	0.1422	0.1417

Framework versions

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