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Finetuned_MarianMTModel – AI Model by HugginJake | AlphaNeural AI

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HugginJake/
Finetuned_MarianMTModel

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text2text-generation

generated_from_trainer

Helsinki-NLP/opus-mt-it-de

endpoints_compatible

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Finetuned_MarianMTModel

This model is a fine-tuned version of Helsinki-NLP/opus-mt-it-de on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 2.0607
eval_bleu: 16.7187
eval_gen_len: 33.3
eval_runtime: 963.1503
eval_samples_per_second: 5.687
eval_steps_per_second: 0.356
epoch: 7.0
step: 9583

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1