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indogpt-talentdna – AI Model by AIRDU-CS | AlphaNeural AI

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AIRDU-CS/
indogpt-talentdna

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0

text-generation

generated_from_trainer

indobenchmark/indogpt

autotrain_compatible

text-generation-inference

endpoints_compatible

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indogpt-talentdna

This model is a fine-tuned version of indobenchmark/indogpt on an unknown dataset.

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: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.53.1
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.21.1