|
--- |
|
language: |
|
- th |
|
base_model: openai/whisper-small |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
- ter |
|
- chrf |
|
- cer |
|
- bleu |
|
- suber |
|
model-index: |
|
- name: Whisper Small Thai Lora - Magi Boss |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 11.0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: th |
|
split: None |
|
args: 'config: th, split: validation' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 1.1186 |
|
- name: Ter |
|
type: ter |
|
value: 111.8553 |
|
- name: ChrF |
|
type: chrf |
|
value: 66.9454 |
|
- name: CER |
|
type: cer |
|
value: 0.2283 |
|
- name: BLEU |
|
type: bleu |
|
value: 3.6586 |
|
- name: SubER |
|
type: suber |
|
value: 1.1628 |
|
pipeline_tag: automatic-speech-recognition |
|
license: apache-2.0 |
|
library_name: peft |
|
--- |
|
|
|
<!-- 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 Thai Lora - Magi Boss |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the Common Voice 11.0 dataset (Training Set 20000 row, Validation Set 500 row). |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8313 |
|
- WER: 1.1186 |
|
- TER: 111.8553 |
|
- ChrF: 66.9454 |
|
- CER: 0.2283 |
|
- BLEU: 3.6586 |
|
- SubER: 1.1628 |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: AdamW |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 25 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Ter | Chrf | Cer | Bleu | SubER | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:-------:|:------:|:------:|:---------:| |
|
| 0.1990 | 0.4 | 250 | 0.8732 | 1.1969 | 119.6879 | 65.8239 | 0.2487 | 4.2583 | 1.2745 | |
|
| 0.1902 | 0.8 | 500 | 0.8353 | 1.1232 | 112.3175 | 66.5794 | 0.2430 | 3.9823 | 1.1698 | |
|
| 0.1873 | 1 | 625 | 0.8313 | 1.1186 | 111.8553 | 66.9454 | 0.2283 | 3.6586 | 1.1628 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.12.1.dev0 |
|
- Transformers 4.45.0.dev0 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
