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xlm-roberta-finetuned-ner-indonesia – AI Model by mufathurrohman | AlphaNeural AI
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xlm-roberta-finetuned-ner-indonesia
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tensorboard
safetensors
xlm-roberta
generated_from_trainer
FacebookAI/xlm-roberta-large
finetune
mit
us
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xlm-roberta-finetuned-ner-indonesia
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: 0.1069
Precision: 0.9810
Recall: 0.9800
F1: 0.9805
Accuracy: 0.9768
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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
0.2151
1.0
582
0.1175
0.9769
0.9762
0.9766
0.9724
0.1122
2.0
1165
0.1053
0.9785
0.9792
0.9789
0.9751
0.0836
3.0
1746
0.1069
0.9810
0.9800
0.9805
0.9768
Framework versions
Transformers 4.38.1
Pytorch 2.1.2+cu121
Datasets 3.0.0
Tokenizers 0.15.2
