---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-khmer-aug-v6-2
  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-v6-2

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: 0.3497
- Wer: 68.6233

## 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      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.8376        | 0.9994 | 837  | 0.4499          | 100.4702 |
| 0.3482        | 2.0    | 1675 | 0.3490          | 79.3903  |
| 0.2732        | 2.9994 | 2512 | 0.3141          | 74.6230  |
| 0.231         | 4.0    | 3350 | 0.3190          | 75.0608  |
| 0.2002        | 4.9994 | 4187 | 0.3118          | 72.5799  |
| 0.1743        | 6.0    | 5025 | 0.3104          | 72.2556  |
| 0.1553        | 6.9994 | 5862 | 0.3216          | 71.2826  |
| 0.1375        | 8.0    | 6700 | 0.3307          | 73.7311  |
| 0.1217        | 8.9994 | 7537 | 0.3497          | 69.3854  |
| 0.1089        | 9.9940 | 8370 | 0.3497          | 68.6233  |


### Framework versions

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