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nllb-200-reproductive-health-qlora-fold-0 – AI Model by alban12 | AlphaNeural AI
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alban12
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nllb-200-reproductive-health-qlora-fold-0
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peft
safetensors
adapter
lora
transformers
facebook/nllb-200-distilled-1.3B
cc-by-nc-4.0
us
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nllb-200-reproductive-health-qlora-fold-0
This model is a fine-tuned version of
facebook/nllb-200-distilled-1.3B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7256
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: 2
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: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
4.1110
1.0
1825
1.9500
3.8326
2.0
3650
1.7766
3.7509
3.0
5475
1.7256
Framework versions
PEFT 0.19.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
