---
library_name: transformers
language:
- hr
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v3-turbo-hr-parla
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# whisper-large-v3-turbo-hr-parla

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the classla/ParlaSpeech-HR dataset and additional 400h
private dataset, both with augmented additions.


It achieves the following results on the evaluation set:
- Loss: 0.0816
- Wer: 3.52%


### WER comparsion

| Dataset                         | Model                                               | WER (%)  |
|---------------------------------|----------------------------------------------------|----------|
| google/fleurs hr_hr test        | openai/whisper-base                                | 65.99    |
| google/fleurs hr_hr test        | openai/whisper-large-v3-turbo                      | 12.73    |
| google/fleurs hr_hr test        | slsolucije/whisper-large-v3-turbo-hr-parla-lora-merged | 9.93 |
| google/fleurs hr_hr test        | **GoranS/whisper-large-v3-turbo-hr-parla**             | **8.66** |
| GoranS/stt-croatian_99k_265_2 test | openai/whisper-large-v3-turbo                      | 22.93    |
| GoranS/stt-croatian_99k_265_2 test | slsolucije/whisper-large-v3-turbo-hr-parla-lora-merged | 19.02 |
| GoranS/stt-croatian_99k_265_2 test | **GoranS/whisper-large-v3-turbo-hr-parla**             | **18.44**  |
| GoranS/stt-croatian-sl-31k test | openai/whisper-large-v3-turbo                      | 21.62    |
| GoranS/stt-croatian-sl-31k test | slsolucije/whisper-large-v3-turbo-hr-parla-lora-merged | 17.07 |
| GoranS/stt-croatian-sl-31k test | **GoranS/whisper-large-v3-turbo-hr-parla**             | **16.97** |
| parla_867k_2483_0.5 test        | openai/whisper-large-v3-turbo                      | 10.23    |
| parla_867k_2483_0.5 test        | slsolucije/whisper-large-v3-turbo-hr-parla-lora-merged | 4.58     |
| parla_867k_2483_0.5 test        | **GoranS/whisper-large-v3-turbo-hr-parla**             | **3.52** |


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 6.25e-06
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 800
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Wer    |
|:-------------:|:------:|:-----:|:---------------:|:------:|
| 0.1485        | 0.0703 | 1000  | 0.1376          | 0.0610 |
| 0.1399        | 0.1406 | 2000  | 0.1210          | 0.0545 |
| 0.1311        | 0.2108 | 3000  | 0.1144          | 0.0529 |
| 0.119         | 0.2811 | 4000  | 0.1058          | 0.0487 |
| 0.1165        | 0.3514 | 5000  | 0.1067          | 0.0517 |
| 0.1142        | 0.4217 | 6000  | 0.1007          | 0.0464 |
| 0.1095        | 0.4920 | 7000  | 0.1019          | 0.0447 |
| 0.1112        | 0.5622 | 8000  | 0.0974          | 0.0425 |
| 0.1104        | 0.6325 | 9000  | 0.0971          | 0.0442 |
| 0.1081        | 0.7028 | 10000 | 0.0943          | 0.0411 |
| 0.1025        | 0.7731 | 11000 | 0.0905          | 0.0397 |
| 0.1042        | 0.8433 | 12000 | 0.0930          | 0.0419 |
| 0.1031        | 0.9136 | 13000 | 0.0923          | 0.0428 |
| 0.1038        | 0.9839 | 14000 | 0.0894          | 0.0408 |
| 0.0878        | 1.0542 | 15000 | 0.0902          | 0.0408 |
| 0.0886        | 1.1245 | 16000 | 0.0869          | 0.0369 |
| 0.0864        | 1.1947 | 17000 | 0.0861          | 0.0364 |
| 0.0817        | 1.2650 | 18000 | 0.0867          | 0.0408 |
| 0.0899        | 1.3353 | 19000 | 0.0852          | 0.0383 |
| 0.0868        | 1.4056 | 20000 | 0.0846          | 0.0369 |
| 0.0858        | 1.4759 | 21000 | 0.0844          | 0.0378 |
| 0.0827        | 1.5461 | 22000 | 0.0845          | 0.0391 |
| 0.0798        | 1.6164 | 23000 | 0.0846          | 0.0378 |
| 0.0845        | 1.6867 | 24000 | 0.0833          | 0.0375 |
| 0.0768        | 1.7570 | 25000 | 0.0840          | 0.0375 |
| 0.0799        | 1.8273 | 26000 | 0.0837          | 0.0375 |
| 0.0808        | 1.8975 | 27000 | 0.0825          | 0.0352 |
| 0.0837        | 1.9678 | 28000 | 0.0816          | 0.0352 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3