|
--- |
|
language: |
|
- tr |
|
license: apache-2.0 |
|
tags: |
|
- whisper |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Turkish |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_11_0 tr |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: tr |
|
split: test |
|
args: tr |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 16.632698616044568 |
|
--- |
|
|
|
<!-- 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 Turkish |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 tr dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2576 |
|
- Wer: 16.6327 |
|
- Cer: 4.2853 |
|
|
|
## 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: 32 |
|
- 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: 5000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:| |
|
| 0.1412 | 0.08 | 400 | 0.2656 | 19.8335 | 5.2393 | |
|
| 0.0851 | 1.03 | 800 | 0.2382 | 18.6300 | 4.8916 | |
|
| 0.0525 | 1.11 | 1200 | 0.2532 | 19.1696 | 5.2238 | |
|
| 0.0163 | 2.07 | 1600 | 0.2447 | 17.2014 | 4.5840 | |
|
| 0.0202 | 3.02 | 2000 | 0.2472 | 17.1063 | 4.4935 | |
|
| 0.0075 | 3.1 | 2400 | 0.2503 | 17.0151 | 4.4318 | |
|
| 0.0039 | 4.05 | 2800 | 0.2514 | 16.7433 | 4.3655 | |
|
| 0.0038 | 5.01 | 3200 | 0.2565 | 16.8870 | 4.3582 | |
|
| 0.0023 | 5.09 | 3600 | 0.2590 | 16.6987 | 4.3337 | |
|
| 0.0013 | 6.04 | 4000 | 0.2576 | 16.6327 | 4.2853 | |
|
| 0.0011 | 6.12 | 4400 | 0.2647 | 16.9122 | 4.3556 | |
|
| 0.001 | 7.07 | 4800 | 0.2615 | 16.6346 | 4.2839 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.8.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
