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mobilebert_sst2 – AI Model by Alireza1044 | AlphaNeural AI
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Alireza1044
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mobilebert_sst2
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transformers
pytorch
tensorboard
mobilebert
text-classification
generated_from_trainer
en
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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sst2
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: 1.1730
Accuracy: 0.9037
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: 1e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0
Training results
Framework versions
Transformers 4.20.0.dev0
Pytorch 1.11.0
Datasets 2.2.2
Tokenizers 0.12.1
