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QA-lite-squad – AI Model by osmanh | AlphaNeural AI
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osmanh
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QA-lite-squad
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transformers
safetensors
albert
question-answering
generated_from_trainer
Wikidepia/indobert-lite-squad
finetune
endpoints_compatible
us
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QA-lite-squad
This model is a fine-tuned version of
Wikidepia/indobert-lite-squad
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.4377
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
250
2.0608
0.3845
2.0
500
2.2382
0.3845
3.0
750
2.4377
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
