---
base_model: openai/whisper-medium
datasets:
- mozilla-foundation/common_voice_11_0
language:
- ha
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Whisper Small ha Test- Dinaka Ezeani
  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 Small ha Test- Dinaka Ezeani

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4394

## 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: 0.001
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.5742        | 0.0323 | 1    | 2.8898          |
| 3.6442        | 0.0645 | 2    | 2.5929          |
| 3.3101        | 0.0968 | 3    | 2.1882          |
| 2.797         | 0.1290 | 4    | 1.9838          |
| 2.6471        | 0.1613 | 5    | 1.7828          |
| 2.3832        | 0.1935 | 6    | 1.6560          |
| 2.1674        | 0.2258 | 7    | 1.5718          |
| 2.0717        | 0.2581 | 8    | 1.5056          |
| 2.0157        | 0.2903 | 9    | 1.4620          |
| 1.9508        | 0.3226 | 10   | 1.4394          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1