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mobilebert_add_GLUE_Experiment_logit_kd_pretrain_stsb – AI Model by gokuls | AlphaNeural AI
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gokuls
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mobilebert_add_GLUE_Experiment_logit_kd_pretrain_stsb
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transformers
pytorch
tensorboard
mobilebert
text-classification
generated_from_trainer
en
glue
apache-2.0
autotrain_compatible
endpoints_compatible
us
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mobilebert_add_GLUE_Experiment_logit_kd_pretrain_stsb
This model is a fine-tuned version of
gokuls/mobilebert_add_pre-training-complete
on the GLUE STSB dataset. It achieves the following results on the evaluation set:
Loss: nan
Mse: nan
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: 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
Mse
0.0
1.0
45
nan
nan
0.0
2.0
90
nan
nan
0.0
3.0
135
nan
nan
0.0
4.0
180
nan
nan
0.0
5.0
225
nan
nan
0.0
6.0
270
nan
nan
Framework versions
Transformers 4.26.0
Pytorch 1.14.0a0+410ce96
Datasets 2.9.0
Tokenizers 0.13.2
