| --- |
| language: |
| - en |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| base_model: openai/whisper-tiny |
| datasets: |
| - mozilla-foundation/common_voice_17_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Medium en |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: Common Voice 17.0 |
| type: mozilla-foundation/common_voice_17_0 |
| config: en |
| split: test |
| args: en |
| metrics: |
| - type: wer |
| value: 25.86151801007235 |
| name: Wer |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: google/fleurs |
| type: google/fleurs |
| config: en_us |
| split: test |
| metrics: |
| - type: wer |
| value: 15.97 |
| name: WER |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: facebook/voxpopuli |
| type: facebook/voxpopuli |
| config: en |
| split: test |
| metrics: |
| - type: wer |
| value: 18.48 |
| name: WER |
| pipeline_tag: automatic-speech-recognition |
| --- |
| |
| <!-- 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 en |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6106 |
| - Wer: 25.8615 |
|
|
| ## 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: 64 |
| - 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 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.4769 | 1.0974 | 1000 | 0.6212 | 26.6080 | |
| | 0.346 | 3.0922 | 2000 | 0.6184 | 26.1229 | |
| | 0.3654 | 5.087 | 3000 | 0.6130 | 26.0782 | |
| | 0.2858 | 7.0818 | 4000 | 0.6196 | 26.2060 | |
| | 0.3308 | 9.0766 | 5000 | 0.6106 | 25.8615 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.42.0.dev0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
