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linguistflow-en-fr-mvp – AI Model by walidght | AlphaNeural AI
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linguistflow-en-fr-mvp
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-fr
finetune
apache-2.0
endpoints_compatible
us
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linguistflow-en-fr-mvp
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-fr
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5410
Bleu: 36.2037
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_FUSED 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
0.6087
1.0
2813
0.5407
35.6212
0.5259
2.0
5626
0.5394
36.2041
0.4779
3.0
8439
0.5410
36.2037
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
