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NLLB_DoRA – AI Model by yasmineee | AlphaNeural AI
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yasmineee
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NLLB_DoRA
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peft
safetensors
generated_from_trainer
facebook/nllb-200-distilled-600M
adapter
cc-by-nc-4.0
us
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NLLB_DoRA
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: 1.2708
Bleu: 32.802
Rouge: 0.6028
Gen Len: 17.4444
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
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Rouge
Gen Len
1.3937
1.0
2000
1.3115
32.2196
0.5954
17.6569
1.3309
2.0
4000
1.2781
32.6752
0.6011
17.4931
1.3234
3.0
6000
1.2708
32.802
0.6028
17.4444
Framework versions
PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
