---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-1.3B
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nllb-200-1.3B-ft-eng-to-cym
  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. -->

# nllb-200-1.3B-ft-eng-to-cym

This model is a fine-tuned version of [facebook/nllb-200-1.3B](https://huggingface.co/facebook/nllb-200-1.3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5646
- Bleu: 27.8671
- Gen Len: 55.08

## 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: 32
- eval_batch_size: 32
- 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
- training_steps: 15000

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
| 0.9121        | 0.0731 | 1000  | 0.7962          | 22.783  | 68.2487 |
| 0.8163        | 0.1463 | 2000  | 0.7246          | 28.2372 | 67.6394 |
| 0.7572        | 0.2194 | 3000  | 0.6854          | 34.6825 | 56.1005 |
| 0.7219        | 0.2926 | 4000  | 0.6561          | 23.5071 | 63.3411 |
| 0.6934        | 0.3657 | 5000  | 0.6375          | 28.8273 | 57.98   |
| 0.674         | 0.4389 | 6000  | 0.6212          | 27.9132 | 61.8049 |
| 0.649         | 0.5120 | 7000  | 0.6079          | 32.1375 | 54.9736 |
| 0.6439        | 0.5851 | 8000  | 0.5973          | 35.6334 | 52.1173 |
| 0.6421        | 0.6583 | 9000  | 0.5884          | 37.7072 | 50.7135 |
| 0.6313        | 0.7314 | 10000 | 0.5801          | 31.4222 | 51.2651 |
| 0.6152        | 0.8046 | 11000 | 0.5739          | 31.9913 | 53.7003 |
| 0.6091        | 0.8777 | 12000 | 0.5699          | 30.3612 | 53.588  |
| 0.6124        | 0.9508 | 13000 | 0.5674          | 29.8079 | 54.5002 |
| 0.5739        | 1.0240 | 14000 | 0.5657          | 28.3008 | 54.8226 |
| 0.5751        | 1.0971 | 15000 | 0.5646          | 27.8671 | 55.08   |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0