| --- |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: WhisperTinyFinnishV3 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: common_voice_11_0 |
| type: common_voice_11_0 |
| config: fi |
| split: test |
| args: fi |
| metrics: |
| - name: Wer |
| type: wer |
| value: 45.13758009800226 |
| --- |
| |
| <!-- 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. --> |
|
|
| # WhisperTinyFinnishV3 |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_11_0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5363 |
| - Wer: 45.1376 |
| |
| ## 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: 3e-06 |
| - train_batch_size: 32 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1000 |
| - training_steps: 10000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:| |
| | 0.9236 | 0.1 | 1000 | 0.7783 | 58.5187 | |
| | 0.727 | 0.2 | 2000 | 0.6638 | 53.1097 | |
| | 0.6867 | 0.3 | 3000 | 0.6113 | 50.2639 | |
| | 0.8348 | 0.4 | 4000 | 0.5882 | 48.2661 | |
| | 0.5165 | 0.5 | 5000 | 0.5679 | 47.1259 | |
| | 0.5509 | 0.6 | 6000 | 0.5540 | 46.6359 | |
| | 0.639 | 0.7 | 7000 | 0.5466 | 46.5228 | |
| | 0.4715 | 0.8 | 8000 | 0.5400 | 45.9763 | |
| | 0.6306 | 0.9 | 9000 | 0.5363 | 45.1376 | |
| | 0.4598 | 1.0 | 10000 | 0.5352 | 45.4768 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.36.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
|
|
