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opus-mt-en-fr-finetuned-en-to-fr – AI Model by abdulrahman-nuzha | AlphaNeural AI
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opus-mt-en-fr-finetuned-en-to-fr
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-fr
finetune
apache-2.0
endpoints_compatible
us
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opus-mt-en-fr-finetuned-en-to-fr
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-fr
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1198
Bleu: 100.0
Gen Len: 9.0
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
1
0.1269
100.0
9.0
No log
2.0
2
0.1223
100.0
9.0
No log
3.0
3
0.1198
100.0
9.0
Framework versions
Transformers 4.52.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
