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indobert-base-uncased-finetuned-squad – AI Model by Haeryz | AlphaNeural AI
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Haeryz
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indobert-base-uncased-finetuned-squad
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transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
indolem/indobert-base-uncased
finetune
mit
endpoints_compatible
us
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indobert-base-uncased-finetuned-squad
This model is a fine-tuned version of
indolem/indobert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1997
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
0.218
1.0
193
0.3077
0.0855
2.0
386
0.2239
0.0414
3.0
579
0.1997
Framework versions
Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
