---
library_name: transformers
license: apache-2.0
base_model: anggiatm/whisper-small-id
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-id-finetune
  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. -->

# whisper-small-id-finetune

This model is a fine-tuned version of [anggiatm/whisper-small-id](https://huggingface.co/anggiatm/whisper-small-id) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3005
- Wer: 11.5360

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1221        | 2.0492 | 1000 | 0.2983          | 13.5966 |
| 0.0185        | 4.0984 | 2000 | 0.2870          | 12.4191 |
| 0.0068        | 6.1475 | 3000 | 0.2954          | 12.1539 |
| 0.0026        | 8.1967 | 4000 | 0.3005          | 11.5360 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1