|
--- |
|
license: mit |
|
base_model: facebook/mbart-large-50 |
|
tags: |
|
- translation |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
- rouge |
|
model-index: |
|
- name: mbart-large-50-en-es-translation-lr-1e-05-weight-decay-0.01 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# mbart-large-50-en-es-translation-lr-1e-05-weight-decay-0.01 |
|
|
|
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.9547 |
|
- Bleu: 45.0896 |
|
- Rouge: {'rouge1': 0.7050843983318068, 'rouge2': 0.5221826018405332, 'rougeL': 0.6843669248955093, 'rougeLsum': 0.6845499780252107} |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:---------------------------------------------------------------------------------------------------------------------------:| |
|
| 1.4571 | 1.0 | 4500 | 1.0262 | 41.9188 | {'rouge1': 0.6701489298042851, 'rouge2': 0.4850120961190509, 'rougeL': 0.6479081216501843, 'rougeLsum': 0.6480345623292922} | |
|
| 0.889 | 2.0 | 9000 | 0.9559 | 44.3378 | {'rouge1': 0.6920481616267358, 'rouge2': 0.5087283264258592, 'rougeL': 0.6709294966142768, 'rougeLsum': 0.6710449317682404} | |
|
| 0.7134 | 3.0 | 13500 | 0.9416 | 44.9705 | {'rouge1': 0.7026762914671131, 'rouge2': 0.5192700210995049, 'rougeL': 0.6817974408692513, 'rougeLsum': 0.6819680202609157} | |
|
| 0.6098 | 4.0 | 18000 | 0.9547 | 45.1741 | {'rouge1': 0.7051668954804624, 'rouge2': 0.5222186626492409, 'rougeL': 0.6844002112351866, 'rougeLsum': 0.6845851183829141} | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0.dev0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4.dev0 |
|
- Tokenizers 0.13.3 |
|
|
