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

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: 0.6705
- Wer: 46.2523

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 2.0089        | 1.0   | 810  | 0.8377          | 64.9564 |
| 0.8348        | 2.0   | 1620 | 0.6317          | 51.0793 |
| 0.6384        | 3.0   | 2430 | 0.5752          | 51.3541 |
| 0.5227        | 4.0   | 3240 | 0.5643          | 48.8592 |
| 0.4323        | 5.0   | 4050 | 0.5749          | 48.2771 |
| 0.3649        | 6.0   | 4860 | 0.5818          | 46.6970 |
| 0.3092        | 7.0   | 5670 | 0.6012          | 46.0317 |
| 0.2611        | 8.0   | 6480 | 0.6331          | 46.0643 |
| 0.2239        | 9.0   | 7290 | 0.6683          | 46.4222 |
| 0.1963        | 10.0  | 8100 | 0.6705          | 46.2523 |


### Framework versions

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