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nllb-200-1.3B-finetuned-wo-to-fr – AI Model by subasine | AlphaNeural AI
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nllb-200-1.3B-finetuned-wo-to-fr
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peft
tensorboard
safetensors
generated_from_trainer
facebook/nllb-200-1.3B
adapter
cc-by-nc-4.0
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nllb-200-1.3B-finetuned-wo-to-fr
This model is a fine-tuned version of
facebook/nllb-200-1.3B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.8851
Bleu: 8.4665
Gen Len: 39.1999
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch 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: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
9.3638
1.1013
500
7.2226
3.3191
40.0655
7.1022
2.2026
1000
6.8851
8.4665
39.1999
Framework versions
PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3
