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Model – AI Model by haurajahra | AlphaNeural AI
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haurajahra
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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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Model card
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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: 2.3415
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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.6013
1.0
32620
1.8233
1.3364
2.0
65240
1.8088
1.0793
3.0
97860
2.0154
0.8973
4.0
130480
2.1687
0.8297
5.0
163100
2.3415
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
