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mini-roberta-javanese – AI Model by akahana | AlphaNeural AI

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akahana/
mini-roberta-javanese

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akahana/GlotCC-V1-jav-Latn

autotrain_compatible

endpoints_compatible

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mini-roberta-javanese

This model is a fine-tuned version of on the akahana/GlotCC-V1-jav-Latn default dataset. It achieves the following results on the evaluation set:

Loss: 6.0607
Accuracy: 0.1591

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: 128
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1