---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer-aug
  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-tiny-khmer-aug

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2697
- Wer: 68.1206

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8969        | 1.0   | 670  | 0.4289          | 91.3572 |
| 0.3822        | 2.0   | 1340 | 0.3025          | 79.3741 |
| 0.292         | 3.0   | 2010 | 0.2727          | 85.6819 |
| 0.2439        | 4.0   | 2680 | 0.2637          | 74.1365 |
| 0.2124        | 5.0   | 3350 | 0.2548          | 70.2124 |
| 0.1844        | 6.0   | 4020 | 0.2606          | 79.7470 |
| 0.1651        | 7.0   | 4690 | 0.2505          | 68.5909 |
| 0.1472        | 8.0   | 5360 | 0.2637          | 67.9261 |
| 0.1344        | 9.0   | 6030 | 0.2672          | 66.2234 |
| 0.1194        | 10.0  | 6700 | 0.2697          | 68.1206 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.3.1
- Datasets 2.21.0
- Tokenizers 0.19.1