---
language:
- id
license: apache-2.0
library_name: peft
tags:
- id-asr-leaderboard
- generated_from_trainer
datasets:
- '-'
base_model: openai/whisper-large-v2
model-index:
- name: /content/zeon8985army/AllIndonesian-fineTunedLargeV2-id-1/checkpoint-192
  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. -->

# /content/zeon8985army/AllIndonesian-fineTunedLargeV2-id-1/checkpoint-192

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the IndonesianAll dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2235

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7039        | 0.04  | 12   | 1.3824          |
| 1.5534        | 0.08  | 24   | 1.1951          |
| 1.0896        | 0.12  | 36   | 0.8549          |
| 0.8805        | 0.16  | 48   | 0.6975          |
| 0.7475        | 0.2   | 60   | 0.6245          |
| 0.6436        | 0.25  | 72   | 0.5783          |
| 0.606         | 0.29  | 84   | 0.5371          |
| 0.5558        | 0.33  | 96   | 0.5013          |
| 0.5116        | 0.37  | 108  | 0.4695          |
| 0.491         | 0.41  | 120  | 0.4379          |
| 0.4481        | 0.45  | 132  | 0.4017          |
| 0.4029        | 0.49  | 144  | 0.3533          |
| 0.3149        | 0.53  | 156  | 0.2834          |
| 0.2592        | 0.57  | 168  | 0.2338          |
| 0.2175        | 0.61  | 180  | 0.2311          |
| 0.1989        | 0.66  | 192  | 0.2278          |
| 0.2031        | 0.7   | 204  | 0.2263          |
| 0.2256        | 0.74  | 216  | 0.2250          |
| 0.2065        | 0.78  | 228  | 0.2245          |
| 0.1916        | 0.82  | 240  | 0.2246          |
| 0.2115        | 0.86  | 252  | 0.2242          |
| 0.2135        | 0.9   | 264  | 0.2238          |
| 0.2177        | 0.94  | 276  | 0.2235          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2