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results – AI Model by cerindam30 | AlphaNeural AI

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cerindam30/
results

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text2text-generation

generated_from_trainer

endpoints_compatible

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results

This model is a fine-tuned version of indobenchmark/indobart-v2 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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
label_smoothing_factor: 0.1

Training results

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3