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--- |
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base_model: openai/whisper-small |
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datasets: |
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- mozilla-foundation/common_voice_17_0 |
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- google/fleurs |
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- facebook/multilingual_librispeech |
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language: |
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- it |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Small Mixed-Italian |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: mozilla-foundation/common_voice_17_0 it |
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type: mozilla-foundation/common_voice_17_0 |
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config: it |
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split: test |
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args: it |
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metrics: |
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- type: wer |
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value: 10.587474512857398 |
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name: Wer |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: facebook/voxpopuli |
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type: facebook/voxpopuli |
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config: it |
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split: test |
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metrics: |
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- type: wer |
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value: 25.87 |
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name: WER |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: google/fleurs |
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type: google/fleurs |
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config: it_it |
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split: test |
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metrics: |
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- type: wer |
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value: 5.77 |
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name: WER |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: facebook/multilingual_librispeech |
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type: facebook/multilingual_librispeech |
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config: italian |
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split: test |
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metrics: |
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- type: wer |
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value: 13.52 |
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name: WER |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Small Mixed-Italian |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_17_0 it dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1909 |
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- Wer: 10.5875 |
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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: 64 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 5000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.2213 | 0.2 | 1000 | 0.2407 | 13.4605 | |
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| 0.1582 | 0.4 | 2000 | 0.2143 | 12.2642 | |
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| 0.1913 | 0.6 | 3000 | 0.2022 | 11.2328 | |
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| 0.1538 | 0.8 | 4000 | 0.1951 | 11.1187 | |
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| 0.1286 | 1.0 | 5000 | 0.1909 | 10.5875 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
