|
--- |
|
library_name: transformers |
|
language: |
|
- tr |
|
license: mit |
|
base_model: openai/whisper-large-v3-turbo |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: 'Whisper Large V3 Turbo FT TR Telephonic - Alperitoo ' |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 11.0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: tr |
|
split: validation |
|
args: 'config: turkish, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 15.630747366661094 |
|
--- |
|
|
|
<!-- 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 Large V3 Turbo FT TR Telephonic - Alperitoo |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the Common Voice 11.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1739 |
|
- Wer: 15.6307 |
|
|
|
## 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: 8 |
|
- seed: 42 |
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
| 0.1657 | 0.6154 | 1000 | 0.2519 | 21.1461 | |
|
| 0.0993 | 1.2308 | 2000 | 0.2193 | 19.6685 | |
|
| 0.0838 | 1.8462 | 3000 | 0.2031 | 18.6612 | |
|
| 0.0574 | 2.4615 | 4000 | 0.1923 | 16.5399 | |
|
| 0.0247 | 3.0769 | 5000 | 0.1739 | 15.6307 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.47.0 |
|
- Pytorch 2.4.1+cu121 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.21.0 |
|
|
