Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
finetune-NLLB-600M-on-opus100-Ar2En-without-optimization – AI Model by yasmineee | AlphaNeural AI | AlphaNeural AI
You can deploy this model and start earning money today!
yasmineee
/
finetune-NLLB-600M-on-opus100-Ar2En-without-optimization
like
0
transformers
safetensors
m2m_100
text2text-generation
generated_from_trainer
facebook/nllb-200-distilled-600M
finetune
cc-by-nc-4.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
finetune-NLLB-600M-on-opus100-Ar2En-without-optimization
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: 1.2100
Bleu: 34.6972
Rouge: 0.6037
Gen Len: 17.7144
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
1.5487
1.0
2000
1.2118
34.2974
0.6072
17.6144
1.135
2.0
4000
1.2100
34.6972
0.6037
17.7144
0.9746
3.0
6000
1.2414
34.1024
0.5995
17.6656
Framework versions
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
