hBERTv2_new_pretrain_48_ver2_mnli – AI Model by gokuls | AlphaNeural AI

You can deploy this model and start earning money today!

gokuls/
hBERTv2_new_pretrain_48_ver2_mnli

like

0

text-classification

generated_from_trainer

gokuls/bert_12_layer_model_v2_complete_training_new_48

autotrain_compatible

endpoints_compatible

Views

No views yet

hBERTv2_new_pretrain_48_ver2_mnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_48 on the GLUE MNLI dataset. It achieves the following results on the evaluation set:

Loss: 1.0986
Accuracy: 0.3182

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: 64
eval_batch_size: 64
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1022	1.0	6136	1.0991	0.3182
1.0989	2.0	12272	1.0987	0.3182
1.0987	3.0	18408	1.0986	0.3182
1.0987	4.0	24544	1.0986	0.3182
1.0986	5.0	30680	1.0986	0.3274
1.0987	6.0	36816	1.0986	0.3274
1.0986	7.0	42952	1.0986	0.3182
1.0986	8.0	49088	1.0986	0.3182
1.0986	9.0	55224	1.0986	0.3182
1.0986	10.0	61360	1.0986	0.3182
1.0986	11.0	67496	1.0986	0.3182
1.0986	12.0	73632	1.0986	0.3182
1.0986	13.0	79768	1.0986	0.3274

Framework versions

Transformers 4.34.0
Pytorch 1.14.0a0+410ce96
Datasets 2.14.5
Tokenizers 0.14.1