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--- |
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language: |
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- ig |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- deepdml/igbo-dict-16khz |
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- google/fleurs |
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- deepdml/igbo-dict-expansion-16khz |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny ig |
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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: google/fleurs |
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type: deepdml/igbo-dict-16khz |
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config: ig_ng |
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split: test |
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args: ig_ng |
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metrics: |
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- name: Wer |
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type: wer |
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value: 60.390651571838106 |
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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 Tiny ig |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the google/fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2453 |
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- Wer: 60.3907 |
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- Cer: 25.7029 |
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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: 128 |
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- eval_batch_size: 128 |
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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_ratio: 0.04 |
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- training_steps: 5000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:| |
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| 0.2001 | 1.0406 | 1000 | 0.9724 | 58.8455 | 24.7463 | |
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| 0.0942 | 2.0812 | 2000 | 1.0967 | 60.7065 | 24.6946 | |
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| 0.0633 | 3.1218 | 3000 | 1.1767 | 59.6472 | 24.2311 | |
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| 0.0417 | 5.003 | 4000 | 1.2294 | 60.0262 | 25.0141 | |
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| 0.0392 | 6.0436 | 5000 | 1.2453 | 60.3907 | 25.7029 | |
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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 |
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## Citation |
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Please cite the model using the following BibTeX entry: |
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```bibtex |
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@misc{deepdml/whisper-tiny-ig-mix-norm, |
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title={Fine-tuned Whisper tiny ASR model for speech recognition in Lingala}, |
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author={Jimenez, David}, |
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howpublished={\url{https://huggingface.co/deepdml/whisper-tiny-ig-mix-norm}}, |
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year={2025} |
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} |
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``` |
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