| --- |
| language: |
| - dv |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_13_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small Dv - Juan Carlos Pineros HF Class |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 13 |
| type: mozilla-foundation/common_voice_13_0 |
| config: dv |
| split: test |
| args: dv |
| metrics: |
| - name: Wer |
| type: wer |
| value: 11.119031887888166 |
| --- |
| |
| <!-- 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 Dv - Juan Carlos Pineros HF Class |
|
|
| 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: 0.2937 |
| - Wer Ortho: 56.7101 |
| - Wer: 11.1190 |
|
|
| ## 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: constant_with_warmup |
| - lr_scheduler_warmup_steps: 50 |
| - training_steps: 4000 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
| | 0.1203 | 1.63 | 500 | 0.1687 | 62.7551 | 13.3724 | |
| | 0.0464 | 3.26 | 1000 | 0.1757 | 58.8899 | 12.0997 | |
| | 0.0327 | 4.89 | 1500 | 0.1931 | 59.0919 | 11.8510 | |
| | 0.0118 | 6.51 | 2000 | 0.2349 | 58.2492 | 11.4042 | |
| | 0.007 | 8.14 | 2500 | 0.2606 | 57.7408 | 11.5259 | |
| | 0.0056 | 9.77 | 3000 | 0.2759 | 57.4413 | 11.0564 | |
| | 0.0038 | 11.4 | 3500 | 0.2785 | 57.2185 | 10.9956 | |
| | 0.0039 | 13.03 | 4000 | 0.2937 | 56.7101 | 11.1190 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.30.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
| |
