---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer-aug-v2
  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-v2

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: 0.2740
- Wer: 69.5152

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.8546        | 0.9993 | 766  | 0.4256          | 86.9629 |
| 0.3717        | 2.0    | 1533 | 0.3108          | 82.3739 |
| 0.283         | 2.9993 | 2299 | 0.2706          | 74.4446 |
| 0.2343        | 4.0    | 3066 | 0.2663          | 75.4338 |
| 0.2058        | 4.9993 | 3832 | 0.2580          | 71.1043 |
| 0.1805        | 6.0    | 4599 | 0.2582          | 69.7097 |
| 0.1608        | 6.9993 | 5365 | 0.2508          | 69.9530 |
| 0.1437        | 8.0    | 6132 | 0.2586          | 67.6504 |
| 0.1309        | 8.9993 | 6898 | 0.2634          | 74.7851 |
| 0.1206        | 9.9935 | 7660 | 0.2740          | 69.5152 |


### Framework versions

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