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--- |
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language: |
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- it |
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license: apache-2.0 |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Italian |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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args: 'config: it, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 17.391605006569392 |
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--- |
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# Whisper Small Italian |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1185 |
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- Wer: 17.3916 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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<!-- - seed: 42 --> |
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- gradient_accumulation_steps: 1 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 954 |
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<!-- - mixed_precision_training: Native AMP --> |
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### Training results |
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| Training Loss | Step | Validation Loss | Wer | |
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|:-------------:|:----:|:---------------:|:-------:| |
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| 1.4744 | 100 | 1.1852 | 117.6059 | |
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| 0.7241 | 200 | 0.7452 | 79.7386 | |
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| 0.3321 | 300 | 0.3215 | 21.0497 | |
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| 0.2930 | 400 | 0.3030 | 20.2129 | |
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| 0.2698 | 500 | 0.2982 | 19.7635 | |
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| 0.2453 | 600 | 0.2898 | 19.0097 | |
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| 0.2338 | 700 | 0.2768 | 18.7054 | |
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| 0.2402 | 800 | 0.2646 | 18.2214 | |
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| 0.2340 | 900 | 0.2581 | 17.3916 | |
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### Framework versions |
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- Transformers 4.25.0.dev0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
