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# Whisper Large v3 PEFT Fine-Tuned Finnish

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: 0.1306
- wer=20.93
- normalized_wer=17.59

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adafactor with (scale_parameter=True, relative_step=True, warmup_init=True, lr=None)
- lr_scheduler_type: LambdaLR
- lr_scheduler_warmup_steps: 50
- num_epochs: 32
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4703        | 0.42  | 50   | 1.5028          |
| 1.4421        | 0.84  | 100  | 1.5015          |
| 1.4464        | 1.26  | 150  | 1.4992          |
| 1.4576        | 1.68  | 200  | 1.4960          |
| 1.4402        | 2.1   | 250  | 1.4901          |
| 1.4495        | 2.52  | 300  | 1.4822          |
| 1.4221        | 2.94  | 350  | 1.4711          |
| 1.4318        | 3.36  | 400  | 1.4555          |
| 1.3757        | 3.78  | 450  | 1.4352          |
| 1.3954        | 4.2   | 500  | 1.4087          |
| 1.3369        | 4.62  | 550  | 1.3752          |
| 1.2968        | 5.04  | 600  | 1.3338          |
| 1.2703        | 5.46  | 650  | 1.2837          |
| 1.1944        | 5.88  | 700  | 1.2225          |
| 1.1359        | 6.3   | 750  | 1.1474          |
| 1.0638        | 6.72  | 800  | 1.0538          |
| 0.9887        | 7.14  | 850  | 0.9378          |
| 0.8529        | 7.56  | 900  | 0.8176          |
| 0.7359        | 7.98  | 950  | 0.7291          |
| 0.6756        | 8.4   | 1000 | 0.6727          |
| 0.6335        | 8.82  | 1050 | 0.6277          |
| 0.5955        | 9.24  | 1100 | 0.5841          |
| 0.5437        | 9.66  | 1150 | 0.5400          |
| 0.5126        | 10.08 | 1200 | 0.4948          |
| 0.4584        | 10.5  | 1250 | 0.4430          |
| 0.399         | 10.92 | 1300 | 0.3773          |
| 0.3192        | 11.34 | 1350 | 0.2779          |
| 0.25          | 11.76 | 1400 | 0.2338          |
| 0.2153        | 12.18 | 1450 | 0.2195          |
| 0.21          | 12.61 | 1500 | 0.2120          |
| 0.1997        | 13.03 | 1550 | 0.2046          |
| 0.194         | 13.45 | 1600 | 0.1993          |
| 0.1925        | 13.87 | 1650 | 0.1944          |
| 0.1785        | 14.29 | 1700 | 0.1890          |
| 0.1773        | 14.71 | 1750 | 0.1823          |
| 0.1573        | 15.13 | 1800 | 0.1685          |
| 0.1435        | 15.55 | 1850 | 0.1427          |
| 0.1351        | 15.97 | 1900 | 0.1574          |
| 0.124         | 16.39 | 1950 | 0.1357          |
| 0.1187        | 16.81 | 2000 | 0.1282          |
| 0.1149        | 17.23 | 2050 | 0.1294          |
| 0.1068        | 17.65 | 2100 | 0.1249          |
| 0.1105        | 18.07 | 2150 | 0.1291          |
| 0.1047        | 18.49 | 2200 | 0.1248          |
| 0.1092        | 18.91 | 2250 | 0.1890          |
| 0.1018        | 19.33 | 2300 | 0.1212          |
| 0.0968        | 19.75 | 2350 | 0.1198          |
| 0.1042        | 20.17 | 2400 | 0.1195          |
| 0.0949        | 20.59 | 2450 | 0.1194          |
| 0.0939        | 21.01 | 2500 | 0.1204          |
| 0.0943        | 21.43 | 2550 | 0.1208          |
| 0.0883        | 21.85 | 2600 | 0.1179          |
| 0.0887        | 22.27 | 2650 | 0.1180          |
| 0.0854        | 22.69 | 2700 | 0.1213          |
| 0.0883        | 23.11 | 2750 | 0.1181          |
| 0.0807        | 23.53 | 2800 | 0.1179          |
| 0.0805        | 23.95 | 2850 | 0.1175          |
| 0.0726        | 24.37 | 2900 | 0.1184          |
| 0.0808        | 24.79 | 2950 | 0.1188          |
| 0.0698        | 25.21 | 3000 | 0.1220          |
| 0.0733        | 25.63 | 3050 | 0.1190          |
| 0.0738        | 26.05 | 3100 | 0.1186          |
| 0.0652        | 26.47 | 3150 | 0.1198          |
| 0.0737        | 26.89 | 3200 | 0.1213          |
| 0.0611        | 27.31 | 3250 | 0.1229          |
| 0.063         | 27.73 | 3300 | 0.1223          |
| 0.062         | 28.15 | 3350 | 0.1221          |
| 0.0578        | 28.57 | 3400 | 0.1233          |
| 0.0588        | 28.99 | 3450 | 0.1236          |
| 0.055         | 29.41 | 3500 | 0.1271          |
| 0.0527        | 29.83 | 3550 | 0.1251          |
| 0.0529        | 30.25 | 3600 | 0.1264          |
| 0.0471        | 30.67 | 3650 | 0.1259          |
| 0.0511        | 31.09 | 3700 | 0.1284          |
| 0.0442        | 31.51 | 3750 | 0.1278          |
| 0.0478        | 31.93 | 3800 | 0.1306          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
{"language": ["fi"], "license": "apache-2.0", "library_name": "peft", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_13_0"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "Whisper Large v3 PEFT Fine-Tuned Finnish", "results": []}]}
peft safetensors hf-asr-leaderboard generated_from_trainer fi dataset:mozilla-foundation/common_voice_13_0 base_model:openai/whisper-large-v3 license:apache-2.0 region:us