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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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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_13_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: Common Voice 13 |
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type: mozilla-foundation/common_voice_13_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: 17.41963509991312 |
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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 Common Voice 13 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4671 |
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- Wer Ortho: 27.4565 |
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- Wer: 17.4196 |
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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: 16 |
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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: 50 |
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- training_steps: 2500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
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| 0.1403 | 1.44 | 250 | 0.2809 | 28.8913 | 19.2224 | |
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| 0.0664 | 2.87 | 500 | 0.2858 | 27.3696 | 17.9626 | |
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| 0.0315 | 4.31 | 750 | 0.3152 | 27.9348 | 17.4631 | |
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| 0.0174 | 5.75 | 1000 | 0.3578 | 28.1522 | 17.9844 | |
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| 0.0067 | 7.18 | 1250 | 0.4018 | 27.9130 | 17.9626 | |
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| 0.0015 | 8.62 | 1500 | 0.4535 | 28.6739 | 17.5717 | |
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| 0.0008 | 10.06 | 1750 | 0.4558 | 27.2174 | 17.1807 | |
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| 0.0005 | 11.49 | 2000 | 0.4585 | 27.4348 | 17.4848 | |
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| 0.0005 | 12.93 | 2250 | 0.4651 | 27.3478 | 17.3979 | |
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| 0.0005 | 14.37 | 2500 | 0.4671 | 27.4565 | 17.4196 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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