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--- |
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language: |
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- sr |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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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 Serbian |
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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 sr |
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type: mozilla-foundation/common_voice_11_0 |
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config: sr |
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split: test |
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args: sr |
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metrics: |
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- name: Wer |
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type: wer |
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value: 22.905706191825175 |
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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 Serbian |
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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_11_0 sr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5670 |
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- Wer: 22.9057 |
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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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The model was trained on the training + validation splits of the Serbian split of the Common Voice dataset and evaluated on the test split of the Serbian split from the Common Voice dataset. |
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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: 800 |
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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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| 0.4257 | 5.0 | 100 | 0.4377 | 32.4160 | |
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| 0.0779 | 10.0 | 200 | 0.3928 | 23.7556 | |
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| 0.0108 | 15.0 | 300 | 0.4856 | 23.4318 | |
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| 0.0104 | 20.0 | 400 | 0.5637 | 25.4958 | |
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| 0.0069 | 25.0 | 500 | 0.5289 | 23.1485 | |
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| 0.0022 | 30.0 | 600 | 0.5670 | 22.9057 | |
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| 0.0012 | 35.0 | 700 | 0.5746 | 23.0271 | |
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| 0.0006 | 40.0 | 800 | 0.5810 | 23.1890 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.8.1.dev0 |
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- Tokenizers 0.13.2 |
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