---
library_name: transformers
language:
- multilingual
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
datasets:
- arkanalexei/bisix_su_id_reset
metrics:
- wer
model-index:
- name: 'BisiX: Sundanese Whisper (Reset Params)'
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: SU ID ASR
      type: arkanalexei/bisix_su_id_reset
      config: su_id_asr_source
      split: validation
      args: su_id_asr_source
    metrics:
    - name: Wer
      type: wer
      value: 100.0
---

<!-- 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. -->

# BisiX: Sundanese Whisper (Reset Params)

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the SU ID ASR dataset.
It achieves the following results on the evaluation set:
- Loss: 10.7367
- Wer: 100.0
- Cer: 100.0

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer       | Cer       |
|:-------------:|:-------:|:----:|:---------------:|:---------:|:---------:|
| 10.8526       | 1.1765  | 100  | 10.8491         | 100.9708  | 81.1835   |
| 10.8392       | 2.3529  | 200  | 10.8336         | 1808.6292 | 800.3308  |
| 10.8194       | 3.5294  | 300  | 10.8165         | 2677.0607 | 1196.5347 |
| 10.8034       | 4.7059  | 400  | 10.7992         | 207.8742  | 83.6906   |
| 10.7876       | 5.8824  | 500  | 10.7815         | 148.4494  | 78.2801   |
| 10.7684       | 7.0588  | 600  | 10.7662         | 110.9303  | 77.7046   |
| 10.7567       | 8.2353  | 700  | 10.7537         | 93.9326   | 75.0677   |
| 10.7473       | 9.4118  | 800  | 10.7442         | 100.0     | 100.0     |
| 10.7389       | 10.5882 | 900  | 10.7386         | 100.0     | 100.0     |
| 10.7366       | 11.7647 | 1000 | 10.7367         | 100.0     | 100.0     |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0