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mt5-small-nepali – AI Model by aku47z | AlphaNeural AI

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aku47z/
mt5-small-nepali

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-small-nepali

This model is a fine-tuned version of google/mt5-small 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: 1
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Framework versions

Transformers 4.53.0
Pytorch 2.7.1+cu118
Datasets 3.6.0
Tokenizers 0.21.2