---
library_name: transformers
language:
- th
license: apache-2.0
base_model: openai/whisper-medium
tags:
- asr
- speech-recognition
- thai
- custom-model
- fine-tuning
- Common Voice
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Medium TH - Custom datasets and Common voice 17
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Medium TH - Custom datasets and Common voice 17

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1381
- Wer: 59.0037

## 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: 16
- 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: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.2596        | 0.2406 | 500  | 0.2345          | 75.1845 |
| 0.2048        | 0.4812 | 1000 | 0.1912          | 68.9176 |
| 0.164         | 0.7218 | 1500 | 0.1702          | 66.5990 |
| 0.1612        | 0.9625 | 2000 | 0.1496          | 61.9680 |
| 0.075         | 1.2031 | 2500 | 0.1438          | 59.8647 |
| 0.0835        | 1.4437 | 3000 | 0.1381          | 59.0037 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3