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gokuls/
hBERTv2_data_aug_cola

Name: hBERTv2_data_aug_cola
Availability: InStock

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hBERTv2_data_aug_cola

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2 on the GLUE COLA dataset. It achieves the following results on the evaluation set:

Loss: 0.6181
Matthews Correlation: 0.0

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
0.6082	1.0	835	0.6237
0.6068	2.0	1670	0.6186
0.6064	3.0	2505	0.6181
0.6062	4.0	3340	0.6218
0.6061	5.0	4175	0.6212
0.6062	6.0	5010	0.6186
0.606	7.0	5845	0.6189
0.6062	8.0	6680	0.6203

Framework versions

Transformers 4.26.1
Pytorch 1.14.0a0+410ce96
Datasets 2.10.1
Tokenizers 0.13.2

gokuls/hBERTv2_data_aug_cola

hBERTv2_data_aug_cola

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gokuls/
hBERTv2_data_aug_cola