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# whisper-large-v3-croatian-v3

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8726
- Wer: 74.3118

## 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: 1.25e-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: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0539        | 13.89 | 1000 | 2.3264          | 87.0594 |
| 0.0116        | 27.78 | 2000 | 2.5778          | 91.6517 |
| 0.0072        | 41.67 | 3000 | 2.8216          | 76.4729 |
| 0.0074        | 55.56 | 4000 | 2.8726          | 74.3118 |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"language": ["cr"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "whisper-large-v3-croatian-v3", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "audiofolder", "type": "audiofolder", "config": "default", "split": "train", "args": "config: cr, split: test"}, "metrics": [{"type": "wer", "value": 74.31180859274504, "name": "Wer"}]}]}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer cr dataset:audiofolder base_model:openai/whisper-large-v3 license:apache-2.0 model-index endpoints_compatible region:us