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
- eval_phoneme_cer: 0.0532
- eval_cer: 0.0767
- eval_runtime: 25.2246
- eval_samples_per_second: 14.232
- eval_steps_per_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
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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