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ner_fine_tuned_gdsc_tutoring_fariz – AI Model by farizkuy | AlphaNeural AI
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farizkuy
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ner_fine_tuned_gdsc_tutoring_fariz
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transformers
tensorboard
safetensors
bert
token-classification
generated_from_trainer
cahya/bert-base-indonesian-NER
finetune
mit
autotrain_compatible
endpoints_compatible
us
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ner_fine_tuned_gdsc_tutoring_fariz
This model is a fine-tuned version of
cahya/bert-base-indonesian-NER
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8927
Precision: 0.5946
Recall: 0.5116
F1: 0.55
Accuracy: 0.8763
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
8
0.9070
0.6471
0.5116
0.5714
0.8866
No log
2.0
16
0.8893
0.5946
0.5116
0.55
0.8763
No log
3.0
24
0.8927
0.5946
0.5116
0.55
0.8763
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
