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# wav2vec2-base-fr-voxpopuli-v2-breton

This model is a fine-tuned version of [facebook/wav2vec2-base-fr-voxpopuli-v2](https://huggingface.co/facebook/wav2vec2-base-fr-voxpopuli-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3702
- Wer: 0.7302
- Cer: 0.2848

## 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: 6e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.08
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 7.7697        | 2.56  | 250  | 3.9423          | 1.0    | 0.9797 |
| 3.1365        | 5.13  | 500  | 3.0141          | 1.0    | 0.9797 |
| 2.3757        | 7.69  | 750  | 1.6687          | 0.9734 | 0.4559 |
| 1.5287        | 10.26 | 1000 | 1.4412          | 0.8642 | 0.3447 |
| 1.1918        | 12.82 | 1250 | 1.3513          | 0.8235 | 0.3263 |
| 1.0279        | 15.38 | 1500 | 1.3205          | 0.7999 | 0.3178 |
| 0.8976        | 17.95 | 1750 | 1.3047          | 0.7834 | 0.3110 |
| 0.8271        | 20.51 | 2000 | 1.3253          | 0.7795 | 0.3109 |
| 0.738         | 23.08 | 2250 | 1.4054          | 0.7755 | 0.3120 |
| 0.6954        | 25.64 | 2500 | 1.3240          | 0.7600 | 0.2939 |
| 0.6503        | 28.21 | 2750 | 1.3697          | 0.7564 | 0.2939 |
| 0.6263        | 30.77 | 3000 | 1.3571          | 0.7520 | 0.2951 |
| 0.5905        | 33.33 | 3250 | 1.2999          | 0.7359 | 0.2861 |
| 0.5977        | 35.9  | 3500 | 1.3731          | 0.7411 | 0.2906 |
| 0.5838        | 38.46 | 3750 | 1.3851          | 0.7349 | 0.2887 |
| 0.5263        | 41.03 | 4000 | 1.3569          | 0.7366 | 0.2852 |
| 0.5183        | 43.59 | 4250 | 1.3590          | 0.7298 | 0.2854 |
| 0.5151        | 46.15 | 4500 | 1.3690          | 0.7299 | 0.2851 |
| 0.5072        | 48.72 | 4750 | 1.3702          | 0.7302 | 0.2848 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base-fr-voxpopuli-v2", "widget": [{"src": "https://github.com/gweltou/roadennou/blob/main/audio_text/Neus_Ket_Deus_Archoazh/c50a32c62dacaf1e613dc5f1b99107f9_0056670_0061110.mp3", "example_title": "N'eus ket deus arc'hoazh"}], "model-index": [{"name": "wav2vec2-base-fr-voxpopuli-v2-breton", "results": []}]}
transformers tensorboard safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:facebook/wav2vec2-base-fr-voxpopuli-v2 license:cc-by-nc-4.0 endpoints_compatible region:us