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wav2vec2-nigerian-language-identifier-v5 – AI Model by drrobot9 | AlphaNeural AI
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drrobot9
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wav2vec2-nigerian-language-identifier-v5
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transformers
safetensors
wav2vec2
audio-classification
generated_from_trainer
drrobot9/wav2vec2-nigerian-language-identifier-v4
finetune
apache-2.0
endpoints_compatible
us
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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
