metadata
base_model: Samuael/asr-amharic-phoneme-based-38
tags:
- generated_from_trainer
datasets:
- alffa_amharic
model-index:
- name: asr-amharic-phoneme-based-38
results: []
asr-amharic-phoneme-based-38
This model is a fine-tuned version of Samuael/asr-amharic-phoneme-based-38 on the alffa_amharic dataset.
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: 16
- 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
Training results
Training Loss | Epoch | Step | Validation Loss | Wer | Phoneme Cer | Cer |
---|---|---|---|---|---|---|
No log | 11.76 | 200 | 1.1911 | 0.6290 | 0.1913 | 0.2823 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2