---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: MT_final_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MT_final_model

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9422
- Bleu: 18.04
- Gen Len: 40.6108

## 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: 7.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.8688        | 1.0   | 625  | 2.6826          | 17.7778 | 40.0702 |
| 0.5532        | 2.0   | 1250 | 2.7597          | 18.0252 | 40.4945 |
| 0.4398        | 3.0   | 1875 | 2.9079          | 17.9547 | 40.7372 |
| 0.3029        | 4.0   | 2500 | 2.8807          | 18.0278 | 40.5938 |
| 0.2512        | 5.0   | 3125 | 2.9422          | 18.04   | 40.6108 |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1