---
base_model: openai/whisper-large-v3
datasets:
- '-'
language:
- id
library_name: peft
tags:
- id-asr-leaderboard
- generated_from_trainer
model-index:
- name: zeon8985army/IndonesiaLukas-largeV3
  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. -->

# zeon8985army/IndonesiaLukas-largeV3

This model is a fine-tuned version of [zeon8985army/IndonesiaLukas-largeV3](https://huggingface.co/zeon8985army/IndonesiaLukas-largeV3) on the Mozilla & GoogleFleur dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2076

## 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: 6e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 12
- training_steps: 276
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9886        | 0.0785 | 23   | 0.7911          |
| 0.7915        | 0.1570 | 46   | 0.5595          |
| 0.5391        | 0.2355 | 69   | 0.4659          |
| 0.4979        | 0.3140 | 92   | 0.3941          |
| 0.3862        | 0.3925 | 115  | 0.3290          |
| 0.3009        | 0.4710 | 138  | 0.2649          |
| 0.2777        | 0.5495 | 161  | 0.2264          |
| 0.2603        | 0.6280 | 184  | 0.2169          |
| 0.2258        | 0.7065 | 207  | 0.2120          |
| 0.23          | 0.7850 | 230  | 0.2091          |
| 0.2183        | 0.8635 | 253  | 0.2083          |
| 0.2392        | 0.9420 | 276  | 0.2076          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1