| --- |
| language: |
| - sn |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - whisper-event and peft-lora |
| - generated_from_trainer |
| base_model: openai/whisper-tiny |
| datasets: |
| - google/fleurs |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Tiny Sn - Bright Chirindo |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: Google Fleurs |
| type: google/fleurs |
| config: sn_zw |
| split: None |
| args: sn_zw |
| metrics: |
| - type: wer |
| value: 95.27619047619048 |
| name: Wer |
| --- |
| |
| <!-- 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 Tiny Sn - Bright Chirindo |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Google Fleurs dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.9909 |
| - Wer: 95.2762 |
|
|
| ## 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: 8 |
| - 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: 500 |
| - training_steps: 5000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-------:|:----:|:---------------:|:--------:| |
| | 2.087 | 3.0164 | 1000 | 2.4026 | 109.4095 | |
| | 1.8305 | 6.0328 | 2000 | 2.1613 | 101.2419 | |
| | 1.7145 | 9.0492 | 3000 | 2.0536 | 99.8705 | |
| | 1.6314 | 13.0044 | 4000 | 2.0050 | 99.0095 | |
| | 1.665 | 16.0208 | 5000 | 1.9909 | 95.2762 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.10.1.dev0 |
| - Transformers 4.40.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.2.dev0 |
| - Tokenizers 0.19.1 |
