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mbart50-singlish-translation-lora-v1.1 – AI Model by RukDias | AlphaNeural AI
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RukDias
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mbart50-singlish-translation-lora-v1.1
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peft
safetensors
adapter
lora
transformers
deshanksuman/swabhashambart50SinhalaTransliteration
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mbart50-singlish-translation-lora-v1.1
This model is a fine-tuned version of
deshanksuman/swabhashambart50SinhalaTransliteration
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6518
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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
lr_scheduler_warmup_steps: 0.05
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
6.0816
1.0
313
0.7169
4.6064
2.0
626
0.6493
3.8424
3.0
939
0.6518
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
