---
library_name: transformers
license: mit
base_model: facebook/m2m100_1.2B
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_1.2B-ft-cy-to-en
  results: []
datasets:
- techiaith/llyw-cymru-en-cy-ogl
- mgrbyte/bydtermcymru-tm-en-cy
- mgrbyte/cardiff-university-tm-en-cy
language:
- cy
- en
pipeline_tag: translation
---

<!-- 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. -->

# m2m100_1.2B-ft-cy-to-en

This model is a fine-tuned version of [facebook/m2m100_1.2B](https://huggingface.co/facebook/m2m100_1.2B) on an unknown dataset.
It achieves the following results on the evaluation set:

- Loss: 0.6629
- Bleu: 45.7742
- Gen Len: 27.7876

## 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: 1e-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
- lr_scheduler_warmup_steps: 6000
- training_steps: 30000

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
| 1.4169        | 0.0166 | 2000  | 1.2147          | 30.0616 | 29.7576 |
| 1.1518        | 0.0332 | 4000  | 0.9864          | 37.829  | 26.8354 |
| 1.0168        | 0.0499 | 6000  | 0.8875          | 42.0389 | 25.8031 |
| 0.941         | 0.0665 | 8000  | 0.8239          | 43.8126 | 26.3229 |
| 0.8777        | 0.0831 | 10000 | 0.7891          | 43.8364 | 26.8204 |
| 0.8453        | 0.0997 | 12000 | 0.7567          | 43.9052 | 26.9718 |
| 0.8239        | 0.1164 | 14000 | 0.7393          | 44.1267 | 27.1687 |
| 0.8114        | 0.1330 | 16000 | 0.7199          | 44.7922 | 27.5693 |
| 0.7949        | 0.1496 | 18000 | 0.7043          | 46.0559 | 27.3151 |
| 0.7782        | 0.1662 | 20000 | 0.6946          | 46.1132 | 27.7021 |
| 0.7684        | 0.1829 | 22000 | 0.6841          | 46.3332 | 27.4188 |
| 0.7576        | 0.1995 | 24000 | 0.6762          | 45.9629 | 27.5139 |
| 0.7443        | 0.2161 | 26000 | 0.6694          | 46.5899 | 27.2528 |
| 0.7501        | 0.2327 | 28000 | 0.6650          | 45.9993 | 27.5966 |
| 0.7501        | 0.2494 | 30000 | 0.6629          | 45.7742 | 27.7876 |


### Framework versions

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