---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-khmer-aug-v6
  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-small-khmer-aug-v6

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2209
- Wer: 60.8400

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.5473        | 0.9994 | 837  | 0.2368          | 79.1309 |
| 0.2005        | 2.0    | 1675 | 0.1907          | 69.7422 |
| 0.1505        | 2.9994 | 2512 | 0.1775          | 65.4289 |
| 0.1221        | 4.0    | 3350 | 0.1839          | 65.3802 |
| 0.1013        | 4.9994 | 4187 | 0.1888          | 64.1641 |
| 0.0851        | 6.0    | 5025 | 0.1921          | 62.8507 |
| 0.0725        | 6.9994 | 5862 | 0.1960          | 61.9588 |
| 0.0618        | 8.0    | 6700 | 0.2103          | 62.6074 |
| 0.053         | 8.9994 | 7537 | 0.2161          | 61.3426 |
| 0.0474        | 9.9940 | 8370 | 0.2209          | 60.8400 |


### Framework versions

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