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---
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 |