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

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2505
- Wer: 63.2723

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6835        | 1.0   | 670  | 0.2957          | 79.4714 |
| 0.2814        | 2.0   | 1340 | 0.2385          | 73.0988 |
| 0.2102        | 3.0   | 2010 | 0.2247          | 68.2828 |
| 0.1726        | 4.0   | 2680 | 0.2124          | 67.2288 |
| 0.147         | 5.0   | 3350 | 0.2230          | 66.5802 |
| 0.1243        | 6.0   | 4020 | 0.2268          | 72.6123 |
| 0.1078        | 7.0   | 4690 | 0.2268          | 65.4775 |
| 0.0949        | 8.0   | 5360 | 0.2329          | 63.2074 |
| 0.0834        | 9.0   | 6030 | 0.2507          | 63.2074 |
| 0.0732        | 10.0  | 6700 | 0.2505          | 63.2723 |


### Framework versions

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