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# cvwav2vec2-large-xlsr-53-common-voice-sw

This model is a fine-tuned version of [Professor/cvwav2vec2-large-xlsr-53-common-voice-sw](https://huggingface.co/Professor/cvwav2vec2-large-xlsr-53-common-voice-sw) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1056
- Wer: 0.1039

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1161        | 0.22  | 1000 | 0.1324          | 0.1295 |
| 0.1241        | 0.43  | 2000 | 0.1306          | 0.1289 |
| 0.1147        | 0.65  | 3000 | 0.1152          | 0.1166 |
| 0.1236        | 0.87  | 4000 | 0.1056          | 0.1039 |


### Framework versions

- Transformers 4.18.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "cvwav2vec2-large-xlsr-53-common-voice-sw", "results": []}]}
transformers pytorch tensorboard wav2vec2 automatic-speech-recognition generated_from_trainer license:apache-2.0 endpoints_compatible region:us