metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-id-en
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt-id-min
results: []
mt-id-min
This model is a fine-tuned version of Helsinki-NLP/opus-mt-id-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9897
- Bleu: 48.3466
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: 32
- eval_batch_size: 64
- 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: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3