geez-asr
This model is a fine-tuned version of Samuael/asr-amharic-phoneme-based-37-6 on the alffa_amharic dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1275
- eval_wer: 0.1471
- eval_phoneme_cer: 0.0287
- eval_cer: 0.0405
- eval_runtime: 34.6716
- eval_samples_per_second: 18.17
- eval_steps_per_second: 2.279
- epoch: 10.2915
- step: 46600
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: 8
- 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: 20
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.45.0
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0