| --- |
| language: |
| - sr |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_13_0 |
| - google/fleurs |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small cmb |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 13 |
| type: mozilla-foundation/common_voice_13_0 |
| config: sr |
| split: test |
| args: sr |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.13531711555169418 |
| --- |
| |
| <!-- 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 Small Combined |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1934 |
| - Wer Ortho: 0.2322 |
| - Wer: 0.1353 |
|
|
| ## Model description |
|
|
| This is a fine tunned on merged datasets Common Voice 13 + Fleurs + [Juzne vesti (South news)](http://hdl.handle.net/11356/1679) |
|
|
| Rupnik, Peter and Ljubešić, Nikola, 2022,\ |
| ASR training dataset for Serbian JuzneVesti-SR v1.0, Slovenian language resource repository CLARIN.SI, ISSN 2820-4042,\ |
| http://hdl.handle.net/11356/1679. |
|
|
|
|
| ## 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: linear |
| - lr_scheduler_warmup_steps: 50 |
| - training_steps: 1500 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
| | 0.4708 | 0.48 | 500 | 0.2275 | 0.2704 | 0.1738 | |
| | 0.4678 | 0.95 | 1000 | 0.1979 | 0.24 | 0.1457 | |
| | 0.3271 | 1.43 | 1500 | 0.1934 | 0.2322 | 0.1353 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.1 |
