---
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
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# 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