metadata
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-large-50-many-to-many-mmt-finetuned-pt-to-en
results: []
mbart-large-50-many-to-many-mmt-finetuned-pt-to-en
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8212
- Bleu: 5.1667
- Gen Len: 53.5411
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: 0.0002
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 154 | 2.9955 | 1.7894 | 44.0952 |
| No log | 2.0 | 308 | 2.8970 | 2.326 | 46.8317 |
| No log | 3.0 | 462 | 2.9511 | 3.0767 | 55.8505 |
| 2.5276 | 4.0 | 616 | 3.0830 | 3.3555 | 48.737 |
| 2.5276 | 5.0 | 770 | 3.2703 | 3.5714 | 47.0602 |
| 2.5276 | 6.0 | 924 | 3.4241 | 4.3465 | 52.7744 |
| 1.0364 | 7.0 | 1078 | 3.5665 | 4.4909 | 52.705 |
| 1.0364 | 8.0 | 1232 | 3.6942 | 4.6399 | 50.4717 |
| 1.0364 | 9.0 | 1386 | 3.7852 | 5.2082 | 54.6205 |
| 0.3319 | 10.0 | 1540 | 3.8212 | 5.1667 | 53.5411 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1