metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-large-50-many-to-many-mmt
results: []
mbart-large-50-many-to-many-mmt
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3912
- Bleu: 12.0674
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 2.1894 | 0.8 | 1000 | 2.3682 | 10.7429 |
| 1.7455 | 1.6 | 2000 | 2.3495 | 12.2553 |
| 1.3893 | 2.4 | 3000 | 2.3956 | 11.2554 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0