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# ASR for Slovenian Large

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 13.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2395
- Wer: 16.3147
- Normalized_wer: 14.6058

## 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: 0.000925
- train_batch_size: 8
- 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: 50
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.155         | 1.0   | 613  | 0.2940          |
| 0.053         | 2.0   | 1226 | 0.2536          |
| 0.0153        | 3.0   | 1839 | 0.2395          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["asr-sl", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_13_0"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "ASR for Slovenian Large", "results": []}]}
tensorboard safetensors asr-sl generated_from_trainer dataset:mozilla-foundation/common_voice_13_0 base_model:openai/whisper-large-v3 license:apache-2.0 region:us