README.md

metadata

library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
  - translation
  - generated_from_trainer
datasets:
  - kde4
model-index:
  - name: results
    results: []

results

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.45.2
• Pytorch 2.5.1+cu118
• Datasets 3.1.0
• Tokenizers 0.20.3