---
library_name: peft
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- base_model:adapter:facebook/mbart-large-50-many-to-many-mmt
- lora
- transformers
metrics:
- bleu
model-index:
- name: mbart-50-lora-cb-tl-run-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mbart-50-lora-cb-tl-run-2

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 6.2100
- Bleu: 31.0750

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 800
- num_epochs: 4
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu    |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 6.3521        | 1.8131 | 500  | 6.2346          | 32.4265 |
| 6.3218        | 3.6243 | 1000 | 6.2100          | 31.0750 |


### Framework versions

- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1