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Indo-LegalBERT-V3 – AI Model by netrialiarahmi | AlphaNeural AI
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Indo-LegalBERT-V3
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transformers
safetensors
xlm-roberta
fill-mask
generated_from_trainer
FacebookAI/xlm-roberta-large
finetune
mit
endpoints_compatible
us
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Indo-LegalBERT-V3
This model is a fine-tuned version of
FacebookAI/xlm-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8983
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: 16
eval_batch_size: 16
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: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1350
0.9658
No log
2.0
2700
0.9249
No log
3.0
4050
0.8904
Framework versions
Transformers 4.57.3
Pytorch 2.8.0+cu128
Datasets 4.4.1
Tokenizers 0.22.1
