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NLLB-600M-FFT – AI Model by yasmineee | AlphaNeural AI
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NLLB-600M-FFT
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safetensors
m2m_100
generated_from_trainer
facebook/nllb-200-distilled-600M
finetune
cc-by-nc-4.0
us
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NLLB-600M-FFT
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: 1.3513
Bleu: 35.7724
Rouge: 0.5734
Gen Len: 16.8375
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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Rouge
Gen Len
1.9858
1.0
250
1.3645
35.126
0.5746
16.7
1.1589
2.0
500
1.3468
36.7577
0.5841
17.0312
0.9961
3.0
750
1.3513
35.7724
0.5734
16.8375
Framework versions
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
