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Albert-finetuned-ChennaiQA-final – AI Model by aditi2212 | AlphaNeural AI
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Albert-finetuned-ChennaiQA-final
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transformers
tensorboard
safetensors
albert
question-answering
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
endpoints_compatible
us
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Albert-finetuned-ChennaiQA-final
This model is a fine-tuned version of
albert/albert-base-v2
on the None dataset.
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
