---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer-aug-v4
  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-v4

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: 0.4707
- Wer: 87.9034

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1549        | 1.0   | 793  | 1.0460          | 101.2810 |
| 0.8009        | 2.0   | 1586 | 0.7930          | 108.9509 |
| 0.5929        | 3.0   | 2379 | 0.5986          | 95.7516  |
| 0.4686        | 4.0   | 3172 | 0.5323          | 99.9351  |
| 0.411         | 5.0   | 3965 | 0.4952          | 88.9087  |
| 0.3694        | 6.0   | 4758 | 0.4675          | 101.5405 |
| 0.332         | 7.0   | 5551 | 0.4639          | 90.0600  |
| 0.3043        | 8.0   | 6344 | 0.4541          | 78.9363  |
| 0.2819        | 9.0   | 7137 | 0.4532          | 82.9901  |
| 0.2615        | 10.0  | 7930 | 0.4707          | 87.9034  |


### Framework versions

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