| --- |
| language: |
| - en |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| base_model: openai/whisper-tiny |
| datasets: |
| - mozilla-foundation/common_voice_17_0 |
| - google/fleurs |
| - facebook/voxpopuli |
| 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: 26.48273129329958 |
| 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: 14.78 |
| 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: 11.31 |
| 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 mixed-English |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the "en" datasets: |
| - mozilla-foundation/common_voice_17_0 |
| - google/fleurs |
| - facebook/voxpopuli |
| |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6272 |
| - Wer: 26.4827 |
| |
| ## 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: 16 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.3844 | 0.2 | 1000 | 0.6787 | 28.9037 | |
| | 0.3104 | 0.4 | 2000 | 0.6485 | 27.1148 | |
| | 0.3125 | 0.6 | 3000 | 0.6359 | 26.4310 | |
| | 0.2607 | 0.8 | 4000 | 0.6310 | 26.3389 | |
| | 0.2683 | 1.0 | 5000 | 0.6272 | 26.4827 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.42.0.dev0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
