Zum Inhalt springen
ModelAufgelistetExtern
Herunterladen

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

ArtOtherBasismodelldrrobot9/wav2vec2-nigerian-language-identifier-v7VersionRevision 2a42adeBBewertung

Modellquelle

Art
Other
Dateigröße
1,18 GB
Basismodell
drrobot9/wav2vec2-nigerian-language-identifier-v7
Version
vRevision 2a42ade
Aktualisiert
31. Okt. 2026
Downloads
10
Quelle
Hugging Face

Quellenbeschreibung

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 LossEpochStepValidation LossAccuracy
0.00071.01370.00870.9983
0.00022.02740.01710.9972
0.00013.04110.01060.9983
0.00014.05480.00780.9989
0.00005.06850.00760.9989

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.11.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Quellen

1 Quelle
Hugging FacePrimärVersion 2a42adedfce6b263113e7a202252c7a49c53569d
huggingface.co/drrobot9/wav2vec2-nigerian-lid-v4/tree/2a42adedfce6b263113e7a202252c7a49c53569d

Verifiziert 31. Okt.

Download files

Repository files

File inventory only; completeness is unverified.

Modellartefakte

1 Artefakt

model.safetensors

safetensors · FP32 (unverified) · 1,18 GB · SHA-256 4c2f0c10dee1…0aa5 · Hugging Face

Download file

Quellenauszüge

3 Auszüge

--- 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