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NLLB_QLoRA – AI Model by yasmineee | AlphaNeural AI
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NLLB_QLoRA
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peft
safetensors
generated_from_trainer
facebook/nllb-200-distilled-600M
adapter
cc-by-nc-4.0
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NLLB_QLoRA
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: 1.3340
Bleu: 31.5945
Rouge: 0.5906
Gen Len: 17.338
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Rouge
Gen Len
2.858
1.0
875
1.4023
30.5493
0.5771
17.3705
1.4649
2.0
1750
1.3447
31.343
0.5886
17.284
1.4247
3.0
2625
1.3340
31.5945
0.5906
17.338
Framework versions
PEFT 0.12.0
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1