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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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- generated_from_trainer |
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- whisper-event |
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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: luigisaetta/whisper-tiny2-it |
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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: mozilla-foundation/common_voice_11_0 it |
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type: mozilla-foundation/common_voice_11_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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- name: Wer |
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type: wer |
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value: 25.91098766744631 |
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--- |
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# luigisaetta/whisper-tiny2-it |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) 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: 0.4686 |
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- Wer: 25.9110 |
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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: 32 |
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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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| 0.5765 | 2.01 | 1000 | 0.5728 | 32.2181 | |
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| 0.3726 | 4.02 | 2000 | 0.5035 | 28.4606 | |
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| 0.2789 | 6.04 | 3000 | 0.4861 | 26.7894 | |
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| 0.2996 | 8.05 | 4000 | 0.4694 | 26.0279 | |
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| 0.2925 | 10.06 | 5000 | 0.4686 | 25.9110 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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