---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v3-chichewa
  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-large-v3-chichewa

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9810
- Wer: 101.7738

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Wer      |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 0.9765        | 5.2910  | 1000  | 1.8781          | 198.6546 |
| 0.2576        | 10.5820 | 2000  | 2.2548          | 81.4057  |
| 0.1191        | 15.8730 | 3000  | 2.4730          | 80.9351  |
| 0.0755        | 21.1640 | 4000  | 2.6557          | 79.4872  |
| 0.0726        | 26.4550 | 5000  | 2.6869          | 78.3228  |
| 0.0722        | 31.7460 | 6000  | 2.7548          | 93.2428  |
| 0.0624        | 37.0370 | 7000  | 2.8531          | 79.5958  |
| 0.0605        | 42.3280 | 8000  | 2.8869          | 77.6893  |
| 0.062         | 47.6190 | 9000  | 2.9388          | 86.6606  |
| 0.0515        | 52.9101 | 10000 | 2.9810          | 101.7738 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.0.1
- Datasets 3.0.1
- Tokenizers 0.20.0