---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer-aug-v5
  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-v5

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: 0.2692
- Wer: 65.8991

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8233        | 1.0   | 793  | 0.4089          | 85.6008 |
| 0.3463        | 2.0   | 1586 | 0.2983          | 79.4389 |
| 0.2618        | 3.0   | 2379 | 0.2675          | 83.5739 |
| 0.2207        | 4.0   | 3172 | 0.2512          | 76.1635 |
| 0.1929        | 5.0   | 3965 | 0.2446          | 69.3692 |
| 0.1709        | 6.0   | 4758 | 0.2454          | 70.6502 |
| 0.1526        | 7.0   | 5551 | 0.2439          | 74.9635 |
| 0.1382        | 8.0   | 6344 | 0.2515          | 66.4018 |
| 0.1241        | 9.0   | 7137 | 0.2559          | 66.8721 |
| 0.1138        | 10.0  | 7930 | 0.2692          | 65.8991 |


### Framework versions

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