results_cpu

This model is a fine-tuned version of mesolitica/nanot5-base-malaysian-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4654

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: 2
eval_batch_size: 2
seed: 42
optimizer: Use adafactor and the args are: No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1

Training results

Framework versions

Transformers 4.57.0
Pytorch 2.5.1+cpu
Datasets 4.1.1
Tokenizers 0.22.1

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Safetensors

Model size

0.2B params

Tensor type

F32

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