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distilgpt2-javanese – AI Model by akahana | AlphaNeural AI

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akahana/
distilgpt2-javanese

like

0

text-generation

generated_from_trainer

akahana/GlotCC-V1-jav-Latn

autotrain_compatible

text-generation-inference

endpoints_compatible

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distilgpt2-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: 4.1864
Accuracy: 0.3490

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: 16
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0
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