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metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
  - summarization
  - generated_from_trainer
model-index:
  - name: mt5-small-finetuned-amazon-en-es
    results: []

mt5-small-finetuned-amazon-en-es

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on an unknown dataset.

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: 5.6e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use 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: 8

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Tokenizers 0.20.3