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--- |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- whisper |
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- romanian |
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datasets: |
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- readerbench/echo |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-ro |
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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: Echo |
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type: readerbench/echo |
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config: ro |
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metrics: |
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- name: WER |
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type: wer |
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value: 0.08668345828147764 |
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--- |
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# whisper-ro |
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This model is a fine-tuned version of |
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[openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [Echo |
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dataset](https://huggingface.co/datasets/readerbench/echo), a large open-source |
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Romanian dataset. |
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| Name | Small | Large-v2 | Fine-tuned small <br/><small>(this model)</small> | |
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|:------------:|:-----:|:--------:|:-------------------------------------------------:| |
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| Common Voice | 33.2 | 15.8 | 12.2 | |
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| FLEURS | 29.8 | 14.4 | 10.9 | |
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| VoxPopuli | 28.6 | 14.4 | 9.4 | |
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| Echo | >100 | >100 | 8.6 | |
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| RSC | 38.6 | 28.5 | 5.4 | |
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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`: 128 |
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- `eval_batch_size`: 128 |
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- `seed`: 42 |
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- `distributed_type`: multi-GPU |
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- `num_devices`: 2 |
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- `total_train_batch_size`: 256 |
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- `total_eval_batch_size`: 256 |
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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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- `num_epochs`: 20.0 |
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- `mixed_precision_training`: Native AMP |
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