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ALBERT-PoA – AI Model by sabrinah | AlphaNeural AI
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sabrinah
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ALBERT-PoA
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transformers
pytorch
tensorboard
albert
question-answering
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
endpoints_compatible
us
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ALBERT-PoA
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0054
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: 5
eval_batch_size: 5
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
No log
1.0
7
0.2342
No log
2.0
14
0.0147
No log
3.0
21
0.0054
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cpu
Datasets 2.14.5
Tokenizers 0.13.3
