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Indobert-finetuned-gojek-review-relevant – AI Model by yweslakarep | AlphaNeural AI
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yweslakarep
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Indobert-finetuned-gojek-review-relevant
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
indobenchmark/indobert-base-p2
finetune
mit
autotrain_compatible
endpoints_compatible
us
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results
This model is a fine-tuned version of
indobenchmark/indobert-base-p2
on an gojek dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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
0.0222
1.0
867
0.0006
0.0023
2.0
1734
0.0000
0.0007
3.0
2601
0.0000
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Tokenizers 0.21.0
