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albert_squadv2 – AI Model by BaoKien | AlphaNeural AI
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BaoKien
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albert_squadv2
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transformers
pytorch
tensorboard
albert
question-answering
generated_from_trainer
squad_v2
apache-2.0
endpoints_compatible
us
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albert_squadv2
This model is a fine-tuned version of
albert-base-v2
on the squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 4.1889
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
No log
1.0
5
4.7365
No log
2.0
10
4.3391
No log
3.0
15
4.1889
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
