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nllb-200-wolaytta_to_english_ku – AI Model by Sakuzas | AlphaNeural AI
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nllb-200-wolaytta_to_english_ku
This model is a fine-tuned version of
facebook/nllb-200-distilled-600M
on the None dataset. It achieves the following results on the evaluation set:
Loss: 7.3404
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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: cosine_with_restarts
lr_scheduler_warmup_steps: 100
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
7.4414
1.0
323
7.3814
7.3975
2.0
646
7.3570
7.3828
3.0
969
7.3456
7.3652
4.0
1292
7.3404
Framework versions
PEFT 0.17.1
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
