Samuael/asr-amharic-phoneme-based

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asr-amharic-phoneme-based

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.9967
• —eval_wer: 0.1463
• —eval_runtime: 22.6834
• —evalsamplesper_second: 15.827
• —evalstepsper_second: 1.984
• —epoch: 18.82
• —step: 6400

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
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 20

Framework versions

• —Transformers 4.35.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.15.0
• —Tokenizers 0.15.0