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bhashabridge-nllb-lora – AI Model by idarsh | AlphaNeural AI
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idarsh
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bhashabridge-nllb-lora
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peft
safetensors
adapter
lora
transformers
facebook/nllb-200-distilled-600M
cc-by-nc-4.0
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bhashabridge-nllb-lora
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:
Loss: 6.5647
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 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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
26.4122
0.5100
2000
6.5670
26.4372
1.0
3922
6.5647
Framework versions
PEFT 0.20.0
Transformers 5.14.1
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
