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README.md
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---
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license: apache-2.0
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tags:
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- afro-digits-speech
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datasets:
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- crowd-speech-africa
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metrics:
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- accuracy
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model-index:
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- name: afrospeech-wav2vec-gax
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: Afro Speech
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type: chrisjay/crowd-speech-africa
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args: no
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metrics:
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- name: Validation Accuracy
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type: accuracy
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value: 1.0
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---
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# afrospeech-wav2vec-gax
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the [crowd-speech-africa](https://huggingface.co/datasets/chrisjay/crowd-speech-africa), which was a crowd-sourced dataset collected using the [afro-speech Space](https://huggingface.co/spaces/chrisjay/afro-speech). It achieves the following results on the [validation set](VALID_oromo_gax_audio_data.csv):
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- F1: 1.0
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- Accuracy: 1.0
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The confusion matrix below helps to give a better look at the model's performance across the digits. Through it, we can see the precision and recall of the model as well as other important insights.
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## Training and evaluation data
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The model was trained on a mixed audio data from Oromo (`gax`).
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- Size of training set: 32
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- Size of validation set: 8
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Below is a distribution of the dataset (training and valdation)
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- num_epochs: 150
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### Training results
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| Training Loss | Epoch | Validation Accuracy |
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|:-------------:|:-----:|:--------:|
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| 0.0699 | 1 | 1.0 |
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| 0.0021 | 50 | 0.875 |
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| 0.0026 | 100 | 0.875 |
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| 0.0017 | 150 | 0.875 |
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### Framework versions
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- Transformers 4.21.3
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- Pytorch 1.12.0
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- Datasets 1.14.0
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- Tokenizers 0.12.1
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VALID_oromo_gax_audio_data.csv
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audio_path,transcript,lang,lang_code,gender,age,country,accent
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AUDIO_HOMEPATH/data/4HVUPzA5dfgRfXBPpBUXU4SinMRhtBB0/audio.wav,3,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya,
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AUDIO_HOMEPATH/data/gKlAe3jQJinxr0Dz1MhWadKvbygpODpv/audio.wav,7,"oromo, borana-arsi-guji",gax,Female,32.0,,
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AUDIO_HOMEPATH/data/aiTWEcoQRqolvmAj5199F7o0hG9i7vms/audio.wav,8,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya,
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AUDIO_HOMEPATH/data/1zOxtAS9TYlZdsJAFsWo7vQOnKDC7kYZ/audio.wav,5,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya,
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AUDIO_HOMEPATH/data/EsHbP4zpF42i8Sj7FIWc0FWWA79XnGmb/audio.wav,9,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya,
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AUDIO_HOMEPATH/data/vw9i6XM4r3ScuqRuyCZzlTh4slPyLOYU/audio.wav,6,"oromo, borana-arsi-guji",gax,Female,32.0,,
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AUDIO_HOMEPATH/data/bMobvLv8zmLQXIyl6vhwIaN2qGAxDkVr/audio.wav,3,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya,
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AUDIO_HOMEPATH/data/EyFRinnW0k3vANK46oKw9ARbveL9AMRD/audio.wav,2,"oromo, borana-arsi-guji",gax,Female,32.0,Kenya,
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afrospeech-wav2vec-gax_METRICS_VALID.json
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{"acc": 1.0, "f1": 1.0}
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afrospeech-wav2vec-gax_confusion_matrix_VALID.png
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digits-bar-plot-for-afrospeech-wav2vec-gax.png
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