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opus-tatoeba-en-tr-finetuned-en-to-tr

Text2Text Generation
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metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-tatoeba-en-tr
tags:
  - generated_from_trainer
model-index:
  - name: opus-tatoeba-en-tr-finetuned-en-to-tr
    results: []

opus-tatoeba-en-tr-finetuned-en-to-tr

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

  • Loss: 2.9614

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: 48
  • eval_batch_size: 48
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • label_smoothing_factor: 0.1

Training results

Training Loss Epoch Step Validation Loss
2.4658 1.0 4287 2.9614

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.3.0
  • Datasets 2.14.6
  • Tokenizers 0.19.1