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---
base_model: Samuael/asr-amharic-phoneme-based-38
tags:
- generated_from_trainer
datasets:
- alffa_amharic
model-index:
- name: asr-amharic-phoneme-based-38
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# asr-amharic-phoneme-based-38
This model is a fine-tuned version of [Samuael/asr-amharic-phoneme-based-38](https://huggingface.co/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 | 1.0671 | 0.6497 | 0.1946 | 0.2828 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|