Wav2vec2 Nigerian Language Identifier v5
This model is a fine-tuned version of drrobot9/wav2vec2-nigerian-language-identifier-v4 on the None dataset. It achieves the following results on the evaluation set: Loss: 0.0623 Accuracy: 0.9901
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 1,35 KB–1,18 GB
- Modelo base
- drrobot9/wav2vec2-nigerian-language-identifier-v4
- Versión
- vRevision 3806647
- Actualizado
- 31 oct 2026
- Descargas
- 12
- Fuente
- Hugging Face
Descripción de la fuente
wav2vec2-nigerian-lid-v4
This model is a fine-tuned version of drrobot9/wav2vec2-nigerian-language-identifier-v4 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0623
- Accuracy: 0.9901
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 |
|---|---|---|---|---|
| 0.0005 | 1.0 | 219 | 0.0978 | 0.9820 |
| 0.0003 | 2.0 | 438 | 0.0540 | 0.9892 |
| 0.0025 | 3.0 | 657 | 0.0736 | 0.9860 |
| 0.0000 | 4.0 | 876 | 0.0503 | 0.9919 |
| 0.0003 | 5.0 | 1095 | 0.0623 | 0.9901 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 31 oct
Download files
Repository files
File inventory only; completeness is unverified.
- checkpoint-1095/config.json
- checkpoint-1095/model.safetensors
- checkpoint-1095/preprocessor_config.json
- checkpoint-1095/trainer_state.json
- checkpoint-1095/training_args.bin
- checkpoint-876/config.json
- checkpoint-876/model.safetensors
- checkpoint-876/preprocessor_config.json
- checkpoint-876/trainer_state.json
- checkpoint-876/training_args.bin
- config.json
- model.safetensors
- preprocessor_config.json
- training_args.bin
Artefactos del modelo
5 artefactos
Artefactos del modelo
5 artefactoscheckpoint-1095/model.safetensors
safetensors · FP32 (unverified) · 1,18 GB · SHA-256 d43f8ba1fde0…ab08 · Hugging Face
Download filecheckpoint-876/model.safetensors
safetensors · FP32 (unverified) · 1,18 GB · SHA-256 ef82aadb1d47…e928 · Hugging Face
Download fileExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- library_name: transformers license: apache-2.0 base_model: drrobot9/wav2vec2-nigerian-language-identifier-v4 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-v4](https://huggingface.co/drrobot9/wav2vec2-nigerian-language-identifier-v4) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0623 - Accuracy: 0.9901 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.0005 | 1.0 | 219 | 0.0978 | 0.9820 | | 0.0003 | 2.0 | 438 | 0.0540 | 0.9892 | | 0.0025 | 3.0 | 657 | 0.0736 | 0.9860 | | 0.0000 | 4.0 | 876 | 0.0503 | 0.9919 | | 0.0003 | 5.0 | 1095 | 0.0623 | 0.9901 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.11.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2
Source context: 12 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo drrobot9/wav2vec2-nigerian-language-identifier-v5
Source context: 4 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo drrobot9/wav2vec2-nigerian-language-identifier-v5
