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luganda-nllb-qlora – AI Model by kserumaga | AlphaNeural AI
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kserumaga
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luganda-nllb-qlora
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peft
safetensors
generated_from_trainer
facebook/nllb-200-distilled-600M
adapter
cc-by-nc-4.0
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luganda-nllb-qlora
This model is a fine-tuned version of
facebook/nllb-200-distilled-600M
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0787
eval_runtime: 96.6596
eval_samples_per_second: 33.385
eval_steps_per_second: 4.18
epoch: 2.2038
step: 2000
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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
num_epochs: 3
Framework versions
PEFT 0.15.2
Transformers 4.53.0
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.2
