---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer-aug-kcc-v3
  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-kcc-v3

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: 0.3416
- 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   |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| 1.1553        | 1.0   | 859  | 0.4808          | 100.0 |
| 0.4889        | 2.0   | 1718 | 0.3681          | 100.0 |
| 0.3862        | 3.0   | 2577 | 0.3386          | 100.0 |
| 0.3256        | 4.0   | 3436 | 0.3141          | 100.0 |
| 0.2824        | 5.0   | 4295 | 0.3053          | 100.0 |
| 0.2483        | 6.0   | 5154 | 0.3025          | 100.0 |
| 0.2191        | 7.0   | 6013 | 0.3178          | 100.0 |
| 0.1943        | 8.0   | 6872 | 0.3253          | 100.0 |
| 0.1747        | 9.0   | 7731 | 0.3295          | 100.0 |
| 0.1567        | 10.0  | 8590 | 0.3416          | 100.0 |


### Framework versions

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