Wav2vec2 Nigerian Lid v4
This model is a fine-tuned version of drrobot9/wav2vec2-nigerian-language-identifier-v7 on the None dataset. It achieves the following results on the evaluation set: Loss: 0.0076 Accuracy: 0.9989
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 1,18 GB
- Modelo base
- drrobot9/wav2vec2-nigerian-language-identifier-v7
- Versão
- vRevision 2a42ade
- Atualizado
- 31 de out. de 2026
- Downloads
- 10
- Fonte
- Hugging Face
Descrição da fonte
wav2vec2-nigerian-lid-v4
This model is a fine-tuned version of drrobot9/wav2vec2-nigerian-language-identifier-v7 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0076
- Accuracy: 0.9989
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: 5e-05
- 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: 100
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0007 | 1.0 | 137 | 0.0087 | 0.9983 |
| 0.0002 | 2.0 | 274 | 0.0171 | 0.9972 |
| 0.0001 | 3.0 | 411 | 0.0106 | 0.9983 |
| 0.0001 | 4.0 | 548 | 0.0078 | 0.9989 |
| 0.0000 | 5.0 | 685 | 0.0076 | 0.9989 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
Fontes
1 fonte
Fontes
1 fonteVerificado 31 de out.
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Repository files
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Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatomodel.safetensors
safetensors · FP32 (unverified) · 1,18 GB · SHA-256 4c2f0c10dee1…0aa5 · Hugging Face
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Trechos de fonte
3 trechos--- library_name: transformers license: apache-2.0 base_model: drrobot9/wav2vec2-nigerian-language-identifier-v7 tags: - generated_from_trainer metrics: - accuracy model-index: - name: wav2vec2-nigerian-lid-v4 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-v4 This model is a fine-tuned version of [drrobot9/wav2vec2-nigerian-language-identifier-v7](https://huggingface.co/drrobot9/wav2vec2-nigerian-language-identifier-v7) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0076 - Accuracy: 0.9989 ## 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: 5e-05 - 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: 100 - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.0007 | 1.0 | 137 | 0.0087 | 0.9983 | | 0.0002 | 2.0 | 274 | 0.0171 | 0.9972 | | 0.0001 | 3.0 | 411 | 0.0106 | 0.9983 | | 0.0001 | 4.0 | 548 | 0.0078 | 0.9989 | | 0.0000 | 5.0 | 685 | 0.0076 | 0.9989 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.11.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2
Source context: 10 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo drrobot9/wav2vec2-nigerian-lid-v4
Source context: 11 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo drrobot9/wav2vec2-nigerian-lid-v4
