---
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: 0.4161
- Wer: 73.7474

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.0144        | 0.9989 | 669  | 0.6891          | 100.4865 |
| 0.5319        | 1.9993 | 1339 | 0.4952          | 89.9303  |
| 0.4108        | 2.9996 | 2009 | 0.4335          | 88.0979  |
| 0.3458        | 4.0    | 2679 | 0.4046          | 79.3903  |
| 0.3025        | 4.9989 | 3348 | 0.3869          | 76.9256  |
| 0.2688        | 5.9993 | 4018 | 0.3794          | 81.5145  |
| 0.2427        | 6.9996 | 4688 | 0.3875          | 77.5904  |
| 0.2187        | 8.0    | 5358 | 0.3883          | 74.6392  |
| 0.201         | 8.9989 | 6027 | 0.4046          | 74.5581  |
| 0.182         | 9.9888 | 6690 | 0.4161          | 73.7474  |


### Framework versions

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