Wav2vec2 Nigerian Language Identifier v3
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: 0.1276 Accuracy: 0.9791
Modellquelle
- Art
- Other
- Dateigröße
- 1,35 KB–1,18 GB
- Basismodell
- facebook/wav2vec2-large-xlsr-53
- Version
- vRevision 1eb24ac
- Aktualisiert
- 31. Okt. 2026
- Downloads
- 9
- Quelle
- Hugging Face
Quellenbeschreibung
wav2vec2-nigerian-lid-v3
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: 0.1276
- Accuracy: 0.9791
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 |
|---|---|---|---|---|
| 0.3345 | 1.0 | 280 | 0.3439 | 0.9280 |
| 0.0597 | 2.0 | 560 | 0.1034 | 0.9838 |
| 0.0323 | 3.0 | 840 | 0.1233 | 0.9781 |
| 0.0322 | 4.0 | 1120 | 0.1209 | 0.9776 |
| 0.0254 | 5.0 | 1400 | 0.1961 | 0.9755 |
| 0.0103 | 6.0 | 1680 | 0.1063 | 0.9807 |
| 0.0116 | 7.0 | 1960 | 0.0669 | 0.9880 |
| 0.0003 | 8.0 | 2240 | 0.1446 | 0.9791 |
| 0.0026 | 9.0 | 2520 | 0.1233 | 0.9802 |
| 0.0021 | 10.0 | 2800 | 0.1276 | 0.9791 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 31. Okt.
Download files
Repository files
File inventory only; completeness is unverified.
- checkpoint-1960/config.json
- checkpoint-1960/model.safetensors
- checkpoint-1960/trainer_state.json
- checkpoint-1960/training_args.bin
- checkpoint-2800/config.json
- checkpoint-2800/model.safetensors
- checkpoint-2800/trainer_state.json
- checkpoint-2800/training_args.bin
- config.json
- model.safetensors
- preprocessor_config.json
- training_args.bin
Modellartefakte
5 Artefakte
Modellartefakte
5 Artefaktecheckpoint-1960/model.safetensors
safetensors · FP32 (unverified) · 1,18 GB · SHA-256 976dbb8f9a8f…d7f3 · Hugging Face
Download filecheckpoint-2800/model.safetensors
safetensors · FP32 (unverified) · 1,18 GB · SHA-256 f28bee75da03…9da0 · Hugging Face
Download fileQuellenauszüge
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Quellenauszüge
3 Auszüge--- 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-v3 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-v3 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: 0.1276 - Accuracy: 0.9791 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.3345 | 1.0 | 280 | 0.3439 | 0.9280 | | 0.0597 | 2.0 | 560 | 0.1034 | 0.9838 | | 0.0323 | 3.0 | 840 | 0.1233 | 0.9781 | | 0.0322 | 4.0 | 1120 | 0.1209 | 0.9776 | | 0.0254 | 5.0 | 1400 | 0.1961 | 0.9755 | | 0.0103 | 6.0 | 1680 | 0.1063 | 0.9807 | | 0.0116 | 7.0 | 1960 | 0.0669 | 0.9880 | | 0.0003 | 8.0 | 2240 | 0.1446 | 0.9791 | | 0.0026 | 9.0 | 2520 | 0.1233 | 0.9802 | | 0.0021 | 10.0 | 2800 | 0.1276 | 0.9791 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2
Source context: 9 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo drrobot9/wav2vec2-nigerian-language-identifier-v3
Source context: 7 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo drrobot9/wav2vec2-nigerian-language-identifier-v3
