metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-mul
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: model_opus-mt-en-mul-finetuned
results: []
model_opus-mt-en-mul-finetuned
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-mul on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8770
- Bleu: 44.5232
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.15.2