Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
mobilebert_sa_GLUE_Experiment_logit_kd_sst2_256 – AI Model by gokuls | AlphaNeural AI
You can deploy this model and start earning money today!
gokuls
/
mobilebert_sa_GLUE_Experiment_logit_kd_sst2_256
like
0
transformers
pytorch
tensorboard
mobilebert
text-classification
generated_from_trainer
en
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mobilebert_sa_GLUE_Experiment_logit_kd_sst2_256
This model is a fine-tuned version of
google/mobilebert-uncased
on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
Loss: 0.8734
Accuracy: 0.7592
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
Accuracy
1.0863
1.0
527
0.8734
0.7592
0.5116
2.0
1054
1.1742
0.7489
0.3952
3.0
1581
0.9197
0.7787
0.3401
4.0
2108
1.0557
0.7695
0.3113
5.0
2635
0.9003
0.7924
0.2862
6.0
3162
0.8923
0.8016
Framework versions
Transformers 4.26.0
Pytorch 1.14.0a0+410ce96
Datasets 2.9.0
Tokenizers 0.13.2
