---
license: apache-2.0
base_model: Samuael/asr-amharic-phoneme-based-233
tags:
- generated_from_trainer
datasets:
- alffa_amharic
model-index:
- name: character_based_tigre_233
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# character_based_tigre_233

This model is a fine-tuned version of [Samuael/asr-amharic-phoneme-based-233](https://huggingface.co/Samuael/asr-amharic-phoneme-based-233) on the alffa_amharic dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.0735
- eval_wer: 0.6463
- eval_cer: 0.2341
- eval_runtime: 14.3391
- eval_samples_per_second: 6.556
- eval_steps_per_second: 0.837
- epoch: 5.6
- step: 140

## 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: 0.0005
- 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: 1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2