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mobileBERT_trial1 – AI Model by Cippppy | AlphaNeural AI
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Cippppy
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mobileBERT_trial1
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transformers
safetensors
mobilebert
text-classification
generated_from_trainer
google/mobilebert-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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mobileBERT_trial1
This model is a fine-tuned version of
google/mobilebert-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1923
Accuracy: 0.9287
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2143
1.0
1563
0.1923
0.9287
Framework versions
Transformers 4.37.2
Pytorch 2.2.0+cu118
Datasets 2.17.1
Tokenizers 0.15.2
