---
library_name: transformers
license: mit
base_model: facebook/m2m100_1.2B
tags:
- generated_from_trainer
- mt-models-api-name:m2m100-cy-en
metrics:
- bleu
model-index:
- name: m2m100_1.2B-ft-cy-to-en-2510
  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. -->

# m2m100_1.2B-ft-cy-to-en-2510

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: 0.6758
- Bleu: 58.3947
- Gen Len: 24.7949

## 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_fused 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 |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
| 1.4205        | 0.0166 | 2000  | 1.2444          | 39.2533 | 24.9409 |
| 1.1584        | 0.0332 | 4000  | 1.0151          | 46.658  | 24.9177 |
| 1.0218        | 0.0499 | 6000  | 0.9055          | 50.5177 | 24.7381 |
| 0.9319        | 0.0665 | 8000  | 0.8424          | 52.4629 | 24.673  |
| 0.8824        | 0.0831 | 10000 | 0.8024          | 53.6786 | 24.7644 |
| 0.8524        | 0.0997 | 12000 | 0.7723          | 54.9932 | 24.819  |
| 0.8225        | 0.1164 | 14000 | 0.7514          | 55.6039 | 24.8895 |
| 0.8103        | 0.1330 | 16000 | 0.7321          | 56.6636 | 24.8258 |
| 0.7891        | 0.1496 | 18000 | 0.7187          | 56.8648 | 24.7212 |
| 0.7755        | 0.1662 | 20000 | 0.7078          | 57.3337 | 24.8745 |
| 0.7741        | 0.1829 | 22000 | 0.6976          | 57.7373 | 24.7467 |
| 0.7604        | 0.1995 | 24000 | 0.6878          | 57.7788 | 24.8095 |
| 0.7453        | 0.2161 | 26000 | 0.6811          | 58.098  | 24.8304 |
| 0.752         | 0.2327 | 28000 | 0.6781          | 58.408  | 24.8108 |
| 0.7412        | 0.2494 | 30000 | 0.6758          | 58.3947 | 24.7949 |


### Framework versions

- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.22.1