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marian-finetuned-kde4-en-to-fr – AI Model by annagreg11 | AlphaNeural AI

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annagreg11/
marian-finetuned-kde4-en-to-fr

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text2text-generation

generated_from_trainer

Helsinki-NLP/opus-mt-en-fr

endpoints_compatible

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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: 1.6967
eval_model_preparation_time: 0.023
eval_bleu: 39.2650
eval_runtime: 1570.8522
eval_samples_per_second: 13.38
eval_steps_per_second: 0.209
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: 2e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1