| | --- |
| | language: |
| | - sr |
| | license: apache-2.0 |
| | base_model: openai/whisper-small |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - mozilla-foundation/common_voice_13_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper Small Serbian |
| | 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: 17.41963509991312 |
| | --- |
| | |
| | <!-- 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 Serbian |
| |
|
| | 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: 0.4671 |
| | - Wer Ortho: 27.4565 |
| | - Wer: 17.4196 |
| |
|
| | ## 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: 16 |
| | - 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: 2500 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
| | | 0.1403 | 1.44 | 250 | 0.2809 | 28.8913 | 19.2224 | |
| | | 0.0664 | 2.87 | 500 | 0.2858 | 27.3696 | 17.9626 | |
| | | 0.0315 | 4.31 | 750 | 0.3152 | 27.9348 | 17.4631 | |
| | | 0.0174 | 5.75 | 1000 | 0.3578 | 28.1522 | 17.9844 | |
| | | 0.0067 | 7.18 | 1250 | 0.4018 | 27.9130 | 17.9626 | |
| | | 0.0015 | 8.62 | 1500 | 0.4535 | 28.6739 | 17.5717 | |
| | | 0.0008 | 10.06 | 1750 | 0.4558 | 27.2174 | 17.1807 | |
| | | 0.0005 | 11.49 | 2000 | 0.4585 | 27.4348 | 17.4848 | |
| | | 0.0005 | 12.93 | 2250 | 0.4651 | 27.3478 | 17.3979 | |
| | | 0.0005 | 14.37 | 2500 | 0.4671 | 27.4565 | 17.4196 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.33.3 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| | |
