| | --- |
| | language: |
| | - it |
| | license: apache-2.0 |
| | tags: |
| | - hf-asr-leaderboard |
| | - generated_from_trainer |
| | datasets: |
| | - mozilla-foundation/common_voice_11_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper Small Italian |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: Common Voice 11.0 |
| | type: mozilla-foundation/common_voice_11_0 |
| | args: 'config: it, split: test' |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 17.37085955328124 |
| | --- |
| | |
| | # Whisper Small Italian |
| |
|
| | This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
| | It achieves the following results on the evaluation set: |
| |
|
| | - Loss: 0.2421 |
| | - Wer: 17.3709 |
| |
|
| | ## 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: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 2 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 1.4521 | 0.1 | 100 | 1.3771 | 120.3480 | |
| | | 0.7526 | 0.21 | 200 | 0.9120 | 83.8949 | |
| | | 0.3023 | 0.31 | 300 | 0.4427 | 26.2063 | |
| | | 0.2718 | 0.42 | 400 | 0.4282 | 25.9013 | |
| | | 0.2823 | 0.52 | 500 | 0.4181 | 26.2757 | |
| | | 0.3151 | 0.63 | 600 | 0.4095 | 25.0624 | |
| | | 0.2559 | 0.73 | 700 | 0.4028 | 25.4784 | |
| | | 0.2727 | 0.84 | 800 | 0.2888 | 19.5491 | |
| | | 0.2532 | 0.94 | 900 | 0.2779 | 19.3832 | |
| | | 0.232 | 1.05 | 1000 | 0.2722 | 18.6778 | |
| | | 0.2169 | 1.15 | 1100 | 0.2720 | 18.9268 | |
| | | 0.2493 | 1.26 | 1200 | 0.2741 | 20.0678 | |
| | | 0.2312 | 1.36 | 1300 | 0.2666 | 18.2767 | |
| | | 0.2158 | 1.47 | 1400 | 0.2651 | 19.6529 | |
| | | 0.2171 | 1.57 | 1500 | 0.2583 | 18.6087 | |
| | | 0.2074 | 1.68 | 1600 | 0.2551 | 17.6820 | |
| | | 0.1862 | 1.78 | 1700 | 0.2491 | 17.4124 | |
| | | 0.2044 | 1.89 | 1800 | 0.2475 | 17.8964 | |
| | | 0.1877 | 1.99 | 1900 | 0.2421 | 17.3709 | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.0.dev0 |
| | - Pytorch 1.13.0+cu116 |
| | - Datasets 2.7.1 |
| | - Tokenizers 0.13.2 |
| | |
