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marian-finetuned-kde4-en-to-fr – AI Model by Parthiban007 | AlphaNeural AI
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marian-finetuned-kde4-en-to-fr
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transformers
tensorboard
safetensors
marian
text2text-generation
translation
generated_from_trainer
kde4
Helsinki-NLP/opus-mt-en-fr
finetune
apache-2.0
endpoints_compatible
us
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marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-fr
on the kde4 dataset. It achieves the following results on the evaluation set:
eval_loss: 1.7016
eval_model_preparation_time: 0.0124
eval_bleu: 39.6808
eval_runtime: 3004.2197
eval_samples_per_second: 13.992
eval_steps_per_second: 0.219
step: 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: 1e-05
train_batch_size: 32
eval_batch_size: 64
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
mixed_precision_training: Native AMP
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.0
Tokenizers 0.21.0
