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hBERTv2_new_pretrain_48_KD_w_init_sst2 – AI Model by gokuls | AlphaNeural AI
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gokuls
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hBERTv2_new_pretrain_48_KD_w_init_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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hBERTv2_new_pretrain_48_KD_w_init_sst2
This model is a fine-tuned version of
gokuls/bert_12_layer_model_v2_complete_training_new_48_KD_wt_init
on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
Loss: 0.4188
Accuracy: 0.8394
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: 128
eval_batch_size: 128
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
0.3594
1.0
527
0.4188
0.8394
0.2344
2.0
1054
0.5086
0.8337
0.2012
3.0
1581
0.5127
0.8177
0.1723
4.0
2108
0.4814
0.8200
0.1425
5.0
2635
0.4872
0.8314
0.12
6.0
3162
0.5835
0.8222
Framework versions
Transformers 4.30.2
Pytorch 1.14.0a0+410ce96
Datasets 2.13.0
Tokenizers 0.13.3
