---
base_model: mujadid-syahbana/whisper-small-qur-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: audioclass-whisper-percobaan1
  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. -->

# audioclass-whisper-percobaan1

This model is a fine-tuned version of [mujadid-syahbana/whisper-small-qur-base](https://huggingface.co./mujadid-syahbana/whisper-small-qur-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0711
- Accuracy: 0.9864

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.0043        | 1.0   | 124  | 1.8622          | 0.8186   |
| 0.8439        | 2.0   | 248  | 0.3895          | 0.9433   |
| 0.1972        | 3.0   | 372  | 0.1850          | 0.9637   |
| 0.077         | 4.0   | 496  | 0.1139          | 0.9751   |
| 0.0289        | 5.0   | 620  | 0.1153          | 0.9773   |
| 0.0172        | 6.0   | 744  | 0.0783          | 0.9841   |
| 0.0133        | 7.0   | 868  | 0.0711          | 0.9864   |
| 0.0116        | 8.0   | 992  | 0.0714          | 0.9841   |
| 0.0088        | 9.0   | 1116 | 0.0774          | 0.9819   |
| 0.0079        | 10.0  | 1240 | 0.0800          | 0.9819   |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1