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# whisper-small-sv-v4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3896
- Wer: 20.3571

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0057        | 1.29  | 1000 | 0.4104          | 21.1825 |
| 0.002         | 2.59  | 2000 | 0.3896          | 20.3571 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
{"language": ["sv"], "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "pipeline_tag": "automatic-speech-recognition", "model-index": [{"name": "Whisper Small Sv V4 - Fine-tuned on Swedish - Adrian HR", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "mozilla-foundation/common_voice_11_0", "type": "mozilla-foundation/common_voice_11_0", "config": "sv-SE", "split": "test", "args": "config: sv-SE, split: test"}, "metrics": [{"type": "wer", "value": 20.357076, "name": "Wer"}]}]}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer sv dataset:mozilla-foundation/common_voice_11_0 model-index endpoints_compatible region:us