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finetuned_nllb – AI Model by phucthaiv02 | AlphaNeural AI
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phucthaiv02
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finetuned_nllb
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transformers
tensorboard
safetensors
m2m_100
text2text-generation
generated_from_trainer
phucthaiv02/finetuned-nllb
finetune
mit
endpoints_compatible
us
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finetuned_nllb
This model is a fine-tuned version of
pi-de-pie/finetuned-nllb
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0547
Bleu: 57.7832
Chrf: 74.9957
Ter: 19.6525
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
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
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Chrf
Ter
0.0577
1.0
7893
0.0547
57.7832
74.9957
19.6525
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
