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# wav2vec2-xlsr-53-ft-ccv-cy

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the PYTHON/CUSTOM_COMMON_VOICE.PY - CY dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5770
- Wer: 0.2776

## 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: 0.0003
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 800
- training_steps: 5000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 5.0439        | 9.76   | 400  | 1.0820          | 0.8189 |
| 0.3314        | 19.51  | 800  | 0.5394          | 0.4411 |
| 0.114         | 29.27  | 1200 | 0.5568          | 0.3806 |
| 0.075         | 39.02  | 1600 | 0.5549          | 0.3513 |
| 0.0573        | 48.78  | 2000 | 0.5357          | 0.3289 |
| 0.0454        | 58.54  | 2400 | 0.5619          | 0.3190 |
| 0.0364        | 68.29  | 2800 | 0.5364          | 0.3157 |
| 0.0291        | 78.05  | 3200 | 0.5647          | 0.3054 |
| 0.0237        | 87.8   | 3600 | 0.5450          | 0.2934 |
| 0.019         | 97.56  | 4000 | 0.5545          | 0.2864 |
| 0.0157        | 107.32 | 4400 | 0.5574          | 0.2846 |
| 0.0128        | 117.07 | 4800 | 0.5692          | 0.2792 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"language": ["cy"], "license": "apache-2.0", "tags": ["automatic-speech-recognition", "python/custom_common_voice.py", "generated_from_trainer"], "datasets": ["custom_common_voice"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "wav2vec2-xlsr-53-ft-ccv-cy", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "PYTHON/CUSTOM_COMMON_VOICE.PY - CY", "type": "custom_common_voice", "config": "cy", "split": "validation", "args": "Config: cy, Training split: train, Eval split: validation"}, "metrics": [{"type": "wer", "value": 0.27759351023017903, "name": "Wer"}]}]}]}
transformers pytorch wav2vec2 automatic-speech-recognition python/custom_common_voice.py generated_from_trainer cy dataset:custom_common_voice base_model:facebook/wav2vec2-large-xlsr-53 license:apache-2.0 model-index endpoints_compatible region:us