---
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
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: Whisper Medium TH - Common Voice 17
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_17_0
      type: common_voice_17_0
      config: th
      split: validation[:20%]
      args: th
    metrics:
    - name: Wer
      type: wer
      value: 81.60690571049138
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Medium TH - 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: 0.2987
- Wer: 81.6069

## 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: 125
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.5323        | 0.6083 | 250  | 0.4352          | 91.2683 |
| 0.2568        | 1.2165 | 500  | 0.3432          | 87.1514 |
| 0.2126        | 1.8248 | 750  | 0.3047          | 83.3333 |
| 0.0974        | 2.4331 | 1000 | 0.2987          | 81.6069 |


### Framework versions

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