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

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: 0.1860
- Wer: 100.0

## 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   |
|:-------------:|:------:|:----:|:---------------:|:-----:|
| 0.7           | 0.9994 | 830  | 0.3232          | 100.0 |
| 0.2937        | 2.0    | 1661 | 0.2460          | 100.0 |
| 0.2284        | 2.9994 | 2491 | 0.2058          | 100.0 |
| 0.1897        | 4.0    | 3322 | 0.1920          | 100.0 |
| 0.1645        | 4.9994 | 4152 | 0.1828          | 100.0 |
| 0.1455        | 6.0    | 4983 | 0.1818          | 100.0 |
| 0.1315        | 6.9994 | 5813 | 0.1781          | 100.0 |
| 0.1189        | 8.0    | 6644 | 0.1829          | 100.0 |
| 0.1089        | 8.9994 | 7474 | 0.1843          | 100.0 |
| 0.0988        | 9.9940 | 8300 | 0.1860          | 100.0 |


### Framework versions

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