hBERTv1_new_pretrain_48_ver2_sst2 – AI Model by gokuls | AlphaNeural AI

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gokuls/
hBERTv1_new_pretrain_48_ver2_sst2

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text-classification

generated_from_trainer

gokuls/bert_12_layer_model_v1_complete_training_new_48

autotrain_compatible

endpoints_compatible

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hBERTv1_new_pretrain_48_ver2_sst2

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_48 on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

Loss: 0.4894
Accuracy: 0.7936

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
0.393	1.0	1053	0.5186	0.7924
0.2991	2.0	2106	0.4894	0.7936
0.2998	3.0	3159	0.4971	0.7775
0.294	4.0	4212	0.5383	0.8005
0.2735	5.0	5265	0.5027	0.8062
0.2532	6.0	6318	0.5231	0.7947
0.2605	7.0	7371	0.5386	0.8062

Framework versions

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