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library_name: transformers
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: df2ec487db69725dff7faeebdec684fd
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. -->
# df2ec487db69725dff7faeebdec684fd
This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the Helsinki-NLP/opus_books [es-it] dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7366
- Data Size: 1.0
- Epoch Runtime: 185.3542
- Bleu: 5.3451
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Bleu |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:------:|
| No log | 0 | 0 | 6.8083 | 0 | 15.4169 | 0.3904 |
| No log | 1 | 721 | 3.2524 | 0.0078 | 17.0675 | 3.2322 |
| No log | 2 | 1442 | 3.0505 | 0.0156 | 20.1139 | 3.7278 |
| 0.0613 | 3 | 2163 | 2.9022 | 0.0312 | 22.9839 | 4.3023 |
| 0.2014 | 4 | 2884 | 2.7807 | 0.0625 | 28.3371 | 4.9489 |
| 2.7545 | 5 | 3605 | 2.6759 | 0.125 | 39.7855 | 5.6347 |
| 2.5588 | 6 | 4326 | 2.5606 | 0.25 | 59.6311 | 6.3126 |
| 2.4027 | 7 | 5047 | 2.4370 | 0.5 | 102.1237 | 7.7033 |
| 2.1059 | 8.0 | 5768 | 2.3380 | 1.0 | 184.7286 | 6.2981 |
| 1.769 | 9.0 | 6489 | 2.3692 | 1.0 | 185.0756 | 5.9444 |
| 1.5192 | 10.0 | 7210 | 2.4797 | 1.0 | 184.1943 | 5.6407 |
| 1.2383 | 11.0 | 7931 | 2.5675 | 1.0 | 183.9788 | 5.3725 |
| 1.0197 | 12.0 | 8652 | 2.7366 | 1.0 | 185.3542 | 5.3451 |
### Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1
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