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mobilebert-uncased-finetuned-squad – AI Model by who-does | AlphaNeural AI
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mobilebert-uncased-finetuned-squad
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transformers
safetensors
mobilebert
question-answering
generated_from_trainer
google/mobilebert-uncased
finetune
apache-2.0
endpoints_compatible
us
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mobilebert-uncased-finetuned-squad
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: 0.9623
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.6807
1.0
5533
1.0632
0.9203
2.0
11066
0.9711
0.8521
3.0
16599
0.9623
Framework versions
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.17.1
Tokenizers 0.15.2
