---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper_amharic
  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. -->

# whisper_amharic

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6776
- Wer: 3.06
- Cer: 3.1294

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 2.2053        | 0.5   | 20   | 1.9974          | 4.5933 | 3.3748 |
| 1.8705        | 1.0   | 40   | 1.8153          | 3.2333 | 3.0812 |
| 1.7553        | 1.5   | 60   | 1.7752          | 1.7267 | 2.8164 |
| 1.7049        | 2.0   | 80   | 1.7236          | 3.4533 | 3.1455 |
| 1.6274        | 2.5   | 100  | 1.6928          | 2.5267 | 2.9721 |
| 1.5948        | 3.0   | 120  | 1.6776          | 3.06   | 3.1294 |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0