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marianmt-en-fr_sft – AI Model by kaanino | AlphaNeural AI
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marianmt-en-fr_sft
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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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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: 1.3260
Bleu: 37.9043
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: 128
eval_batch_size: 128
seed: 20
gradient_accumulation_steps: 4
total_train_batch_size: 512
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: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
5.5534
1.0
59
1.3351
37.7388
5.4277
2.0
118
1.3273
37.6248
5.3598
3.0
177
1.3260
37.9043
Framework versions
Transformers 5.5.0
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2
