|
--- |
|
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 |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# 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: 0.1365 |
|
- Wer: 59.1432 |
|
|
|
## 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
| 0.267 | 0.2405 | 500 | 0.2401 | 77.2512 | |
|
| 0.1975 | 0.4810 | 1000 | 0.1865 | 68.8672 | |
|
| 0.1935 | 0.7215 | 1500 | 0.1659 | 64.4477 | |
|
| 0.1591 | 0.9620 | 2000 | 0.1477 | 63.3167 | |
|
| 0.0821 | 1.2025 | 2500 | 0.1431 | 60.2557 | |
|
| 0.0762 | 1.4430 | 3000 | 0.1365 | 59.1432 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.45.2 |
|
- Pytorch 2.5.1+cu121 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.20.3 |
|
|
