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indo-bert-test – AI Model by peterandrew987 | AlphaNeural AI
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indo-bert-test
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transformers
pytorch
bert
question-answering
generated_from_trainer
indolem/indobert-base-uncased
finetune
mit
endpoints_compatible
us
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indo-bert-test
This model is a fine-tuned version of
indolem/indobert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.5326
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: 3
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
3.7334
1.0
2914
3.5991
3.0449
2.0
5828
3.5326
Framework versions
Transformers 4.33.1
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.13.3
