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nllb-kikuyu-model – AI Model by MNG-4 | AlphaNeural AI
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MNG-4
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nllb-kikuyu-model
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transformers
safetensors
m2m_100
text2text-generation
generated_from_trainer
Narsil/nllb
finetune
cc-by-nc-4.0
endpoints_compatible
us
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nllb-kikuyu-model
This model is a fine-tuned version of
Narsil/nllb
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5272
1.0
2345
0.0002
0.0002
2.0
4690
0.0001
0.0001
3.0
7035
0.0000
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.2
Tokenizers 0.22.1
