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balinese_fine_tuned_model – AI Model by pijarcandra22 | AlphaNeural AI
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balinese_fine_tuned_model
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transformers
safetensors
bert
fill-mask
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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balinese_fine_tuned_model
This model is a fine-tuned version of
bert-base-multilingual-cased
on an unknown 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: 15
eval_batch_size: 15
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
1.0
38335
0.0000
0.0
2.0
76670
0.0000
Framework versions
Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 2.19.0
Tokenizers 0.20.3
