| | --- |
| | library_name: transformers |
| | language: |
| | - id |
| | license: apache-2.0 |
| | base_model: openai/whisper-base |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - mozilla-foundation/common_voice_11_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper Base - FineTuned - Id - |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: Common Voice 11.0 |
| | type: mozilla-foundation/common_voice_11_0 |
| | config: id |
| | split: None |
| | args: 'config: id, split: test' |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 45.61101549053356 |
| | --- |
| | |
| | <!-- 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 Base - FineTuned - Id - |
| |
|
| | This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.8705 |
| | - Wer: 45.6110 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 100 |
| | - training_steps: 1000 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-------:|:----:|:---------------:|:-------:| |
| | | 0.891 | 1.5873 | 100 | 0.7102 | 48.5370 | |
| | | 0.3582 | 3.1746 | 200 | 0.7179 | 45.3528 | |
| | | 0.1205 | 4.7619 | 300 | 0.7682 | 46.2134 | |
| | | 0.0413 | 6.3492 | 400 | 0.7906 | 68.7608 | |
| | | 0.0179 | 7.9365 | 500 | 0.8193 | 57.4010 | |
| | | 0.0091 | 9.5238 | 600 | 0.8451 | 45.3528 | |
| | | 0.0064 | 11.1111 | 700 | 0.8578 | 45.7831 | |
| | | 0.0048 | 12.6984 | 800 | 0.8647 | 45.9552 | |
| | | 0.0042 | 14.2857 | 900 | 0.8683 | 45.6110 | |
| | | 0.004 | 15.8730 | 1000 | 0.8705 | 45.6110 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.46.3 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.20.3 |
| | |
