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Finetuned_MarianMTModel

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metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-it-de
tags:
  - generated_from_trainer
model-index:
  - name: Finetuned_MarianMTModel
    results: []

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