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nllb_iwslt_de_c – AI Model by jorirsan | AlphaNeural AI
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jorirsan
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nllb_iwslt_de_c
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peft
safetensors
generated_from_trainer
facebook/nllb-200-3.3B
adapter
cc-by-nc-4.0
us
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nllb_iwslt_de_c
This model is a fine-tuned version of
facebook/nllb-200-3.3B
on the None 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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_BNB 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: 100
num_epochs: 3
Framework versions
PEFT 0.15.0
Transformers 4.51.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
