Joshua-Abok/finetuning-wav2vec-large-swahili-asr-model_v19

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finetuning-wav2vec-large-swahili-asr-model_v19

This model is a fine-tuned version of Joshua-Abok/finetuning-wav2vec-large-swahili-asr-model_v10 on the fleurs dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.3234
• —eval_wer: 0.9985
• —eval_runtime: 63.1279
• —evalsamplesper_second: 7.714
• —evalstepsper_second: 0.966
• —epoch: 9.73
• —step: 2000

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: 0.0003
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 40
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.36.0.dev0
• —Pytorch 2.1.0+cu118
• —Datasets 2.14.7
• —Tokenizers 0.14.1