---
library_name: transformers
license: apache-2.0
base_model: Samuael/asr-amharic-phoneme-based-37-6
tags:
- generated_from_trainer
datasets:
- alffa_amharic
model-index:
- name: geez-asr
  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. -->

# geez-asr

This model is a fine-tuned version of [Samuael/asr-amharic-phoneme-based-37-6](https://huggingface.co/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