| | --- |
| | language: |
| | - ar |
| | license: apache-2.0 |
| | base_model: openai/whisper-base |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - mozilla-foundation/common_voice_17_0 |
| | - google/fleurs |
| | - ymoslem/MediaSpeech |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper Base ar |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: Common Voice 17.0 |
| | type: mozilla-foundation/common_voice_17_0 |
| | config: ar |
| | split: test |
| | args: ar |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 62.6842346347641 |
| | --- |
| | |
| | <!-- 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 ar |
| |
|
| | This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 17.0 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.5272 |
| | - Wer: 62.6842 |
| |
|
| | ## 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 | |
| | |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | | 0.3483 | 0.2 | 1000 | 2.0647 | 67.7943 | |
| | | 0.1912 | 1.0454 | 2000 | 2.3245 | 65.8907 | |
| | | 0.131 | 1.2454 | 3000 | 2.4512 | 63.3511 | |
| | | 0.0954 | 2.0908 | 4000 | 2.4555 | 62.8998 | |
| | | 0.0711 | 2.2908 | 5000 | 2.5272 | 62.6842 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.42.0.dev0 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
