---
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: en_to_dzo_nllb_mul_mt_nlp_m4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# en_to_dzo_nllb_mul_mt_nlp_m4

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: 1.7293
- Bleu: 19.2074
- Gen Len: 15.6777

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 9
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.2141        | 1.0   | 562  | 1.8532          | 9.1051  | 16.0711 |
| 1.7479        | 2.0   | 1124 | 1.7386          | 10.4502 | 15.3854 |
| 1.501         | 3.0   | 1686 | 1.6975          | 18.3404 | 16.2342 |
| 1.3186        | 4.0   | 2248 | 1.6957          | 17.8507 | 15.6396 |
| 1.1776        | 5.0   | 2810 | 1.6957          | 17.353  | 15.4945 |
| 1.0629        | 6.0   | 3372 | 1.7076          | 17.9624 | 15.6937 |
| 0.9827        | 7.0   | 3934 | 1.7202          | 17.6422 | 15.8619 |
| 0.9099        | 8.0   | 4496 | 1.7254          | 19.1543 | 15.5365 |
| 0.8253        | 9.0   | 5058 | 1.7293          | 19.2074 | 15.6777 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0