bert-base-uncased-finetuned-cola-dropout-0.3 – AI Model by cansurav | AlphaNeural AI

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cansurav/
bert-base-uncased-finetuned-cola-dropout-0.3

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-base-uncased-finetuned-cola-dropout-0.3

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

Loss: 1.2847
Matthews Correlation: 0.6036

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.4995	1.0	535	0.5102	0.4897
0.3023	2.0	1070	0.4585	0.5848
0.1951	3.0	1605	0.6793	0.5496
0.145	4.0	2140	0.7694	0.5925
0.1024	5.0	2675	1.0057	0.5730
0.0691	6.0	3210	1.0275	0.5892
0.0483	7.0	3745	1.0272	0.5788
0.0404	8.0	4280	1.2537	0.5810
0.0219	9.0	4815	1.3020	0.5780
0.0224	10.0	5350	1.2847	0.6036

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3