---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer-aug-kcc-v2
  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-v2

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: 0.6443
- Wer: 46.0250

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.8936        | 1.0   | 862  | 0.8037          | 61.5162 |
| 0.8143        | 2.0   | 1724 | 0.6129          | 55.2047 |
| 0.6306        | 3.0   | 2586 | 0.5592          | 46.5133 |
| 0.52          | 4.0   | 3448 | 0.5522          | 53.2805 |
| 0.4271        | 5.0   | 4310 | 0.5466          | 44.1696 |
| 0.3484        | 6.0   | 5172 | 0.5576          | 49.7975 |
| 0.2951        | 7.0   | 6034 | 0.5875          | 46.6725 |
| 0.2524        | 8.0   | 6896 | 0.6020          | 47.5767 |
| 0.2156        | 9.0   | 7758 | 0.6260          | 45.0557 |
| 0.1878        | 10.0  | 8620 | 0.6443          | 46.0250 |


### Framework versions

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