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indobert-smsa_doc-finetuned – AI Model by andikazf15 | AlphaNeural AI
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andikazf15
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indobert-smsa_doc-finetuned
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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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indobert-smsa_doc-finetuned
This model is a fine-tuned version of
indobenchmark/indobert-base-p2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7818
Precision: 0.9405
F1: 0.9405
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: 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
F1
0.2174
1.0
2481
0.4282
0.9230
0.9230
0.0955
2.0
4962
0.7811
0.9405
0.9405
0.0435
3.0
7443
0.7818
0.9405
0.9405
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
