Samuael/asr-amharic-phoneme-based-37-6

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asr-amharic-phoneme-based-37-6

This model is a fine-tuned version of Samuael/asr-amharic-phoneme-based-37-6 on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.2685
• —eval_wer: 0.2816
• —evalphonemecer: 0.0532
• —eval_cer: 0.0767
• —eval_runtime: 25.2246
• —evalsamplesper_second: 14.232
• —evalstepsper_second: 1.784
• —epoch: 6.27
• —step: 5000

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: 3e-05
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —num_epochs: 10

Framework versions

• —Transformers 4.35.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.16.1
• —Tokenizers 0.15.1