This model is a fine-tuned version of Samuael/asr-amharic-phoneme-based-39-3 on the None dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.4962
eval_wer: 0.4152
eval_phoneme_cer: 0.0897
eval_cer: 0.1396
eval_runtime: 22.8954
eval_samples_per_second: 15.68
eval_steps_per_second: 1.965
epoch: 2.94
step: 1000
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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
