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Wav2vec2 Nigerian Language Identifier v2

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set: Loss: 0.0075 Accuracy: 0.9977

Fuentehuggingface.co/drrobot9/wav2vec2-nigerian-language-identifier-v2/tree/f04833d5de8b1550356947f03350b503531b02db
TipoOtherModelo basefacebook/wav2vec2-large-xlsr-53VersiónRevision f04833dBcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
1,18 GB
Modelo base
facebook/wav2vec2-large-xlsr-53
Versión
vRevision f04833d
Actualizado
31 oct 2026
Descargas
3
Fuente
Hugging Face

Descripción de la fuente

wav2vec2-nigerian-lid-v2

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0075
  • Accuracy: 0.9977

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 0.1
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
0.45381.02450.11050.9693
0.08512.04900.02440.9915
0.04893.07350.01480.9937
0.03004.09800.01420.9954
0.01255.012250.00680.9966
0.00756.014700.00600.9977
0.01847.017150.00450.9977
0.00048.019600.00670.9983
0.00489.022050.00590.9977
0.001210.024500.00750.9977

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Fuentes

1 fuente
Hugging FacePrincipalVersión f04833d5de8b1550356947f03350b503531b02db
huggingface.co/drrobot9/wav2vec2-nigerian-language-identifier-v2/tree/f04833d5de8b1550356947f03350b503531b02db

Verificado 31 oct

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Artefactos del modelo

1 artefacto

model.safetensors

safetensors · FP32 (unverified) · 1,18 GB · SHA-256 60f9e6f42336…0f3f · Hugging Face

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Extractos de fuentes

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Readme15 agohuggingface.co/drrobot9/wav2vec2-nigerian-language-identifier-v2

--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-large-xlsr-53 tags: - generated_from_trainer metrics: - accuracy model-index: - name: wav2vec2-nigerian-lid-v2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # wav2vec2-nigerian-lid-v2 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0075 - Accuracy: 0.9977 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0002 - train_batch_size: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 0.1 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.4538 | 1.0 | 245 | 0.1105 | 0.9693 | | 0.0851 | 2.0 | 490 | 0.0244 | 0.9915 | | 0.0489 | 3.0 | 735 | 0.0148 | 0.9937 | | 0.0300 | 4.0 | 980 | 0.0142 | 0.9954 | | 0.0125 | 5.0 | 1225 | 0.0068 | 0.9966 | | 0.0075 | 6.0 | 1470 | 0.0060 | 0.9977 | | 0.0184 | 7.0 | 1715 | 0.0045 | 0.9977 | | 0.0004 | 8.0 | 1960 | 0.0067 | 0.9983 | | 0.0048 | 9.0 | 2205 | 0.0059 | 0.9977 | | 0.0012 | 10.0 | 2450 | 0.0075 | 0.9977 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Note31 octhuggingface.co/drrobot9/wav2vec2-nigerian-language-identifier-v2

Source context: 3 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo drrobot9/wav2vec2-nigerian-language-identifier-v2

Note15 agohuggingface.co/drrobot9/wav2vec2-nigerian-language-identifier-v2

Source context: 6 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo drrobot9/wav2vec2-nigerian-language-identifier-v2