metadata
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: En-Af
results: []
En-Af
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-af on the None dataset. It achieves the following results on the evaluation set: Before training:
- 'eval_bleu': 35.055184951449
- 'eval_loss': 2.225693941116333
After training:
- Loss: 2.0057
- Bleu: 44.2309
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1