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hBERTv1_no_pretrain_sst2 – AI Model by gokuls | AlphaNeural AI
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hBERTv1_no_pretrain_sst2
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transformers
pytorch
tensorboard
hybridbert
text-classification
generated_from_trainer
en
glue
model-index
autotrain_compatible
endpoints_compatible
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hBERTv1_no_pretrain_sst2
This model is a fine-tuned version of
on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
Loss: 0.4434
Accuracy: 0.8108
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: 96
eval_batch_size: 96
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4323
1.0
702
0.4434
0.8108
0.2664
2.0
1404
0.5413
0.8016
0.2222
3.0
2106
0.5243
0.8131
0.2092
4.0
2808
0.6013
0.8005
0.2346
5.0
3510
0.4992
0.8028
0.2444
6.0
4212
0.5317
0.8005
Framework versions
Transformers 4.30.2
Pytorch 1.14.0a0+410ce96
Datasets 2.12.0
Tokenizers 0.13.3
