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wav2vec2_base_finetune_cv_igbo – AI Model by isurut | AlphaNeural AI

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isurut/
wav2vec2_base_finetune_cv_igbo

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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wav2vec2_base_finetune_cv_igbo

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.1469
eval_wer: 0.7373
eval_runtime: 111.9879
eval_samples_per_second: 10.26
eval_steps_per_second: 1.286
epoch: 11.3240
step: 3250

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: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 200
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1