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# whisper-small-test2

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2860
- Wer: 19.5690

## 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: cosine
- lr_scheduler_warmup_steps: 500
- training_steps: 6000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5133        | 0.64  | 500  | 0.3286          | 24.1571 |
| 0.3701        | 1.28  | 1000 | 0.2979          | 22.7444 |
| 0.3324        | 1.92  | 1500 | 0.2818          | 21.2813 |
| 0.2016        | 2.55  | 2000 | 0.2802          | 21.4191 |
| 0.1428        | 3.19  | 2500 | 0.2805          | 20.5921 |
| 0.1455        | 3.83  | 3000 | 0.2740          | 20.3059 |
| 0.1162        | 4.47  | 3500 | 0.2797          | 20.2343 |
| 0.0854        | 5.11  | 4000 | 0.2793          | 19.8526 |
| 0.0859        | 5.75  | 4500 | 0.2809          | 20.0302 |
| 0.0574        | 6.39  | 5000 | 0.2852          | 19.8367 |
| 0.0644        | 7.02  | 5500 | 0.2851          | 19.6644 |
| 0.0637        | 7.66  | 6000 | 0.2860          | 19.5690 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"language": ["sv"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_13_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-test2", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "mozilla-foundation/common_voice_13_0", "type": "mozilla-foundation/common_voice_13_0", "config": "default", "split": "test", "args": "config: sv, split: test"}, "metrics": [{"type": "wer", "value": 19.569020356234095, "name": "Wer"}]}]}]}
transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer sv dataset:mozilla-foundation/common_voice_13_0 base_model:openai/whisper-small license:apache-2.0 model-index endpoints_compatible has_space region:us