|
--- |
|
language: |
|
- tr |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_17_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Medium Tr - Can K V2 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 17.0 |
|
type: mozilla-foundation/common_voice_17_0 |
|
config: tr |
|
split: test |
|
args: 'config: tr, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 67.02546197734821 |
|
--- |
|
|
|
<!-- 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 Tr - Can K V2 |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 17.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1892 |
|
- Wer: 67.0255 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 8000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.146 | 0.34 | 1000 | 0.2164 | 105.0754 | |
|
| 0.1562 | 0.69 | 2000 | 0.2115 | 43.5238 | |
|
| 0.0803 | 1.03 | 3000 | 0.1979 | 42.8919 | |
|
| 0.0668 | 1.38 | 4000 | 0.1944 | 37.3397 | |
|
| 0.0693 | 1.72 | 5000 | 0.1869 | 36.3910 | |
|
| 0.0305 | 2.07 | 6000 | 0.1898 | 49.8254 | |
|
| 0.0272 | 2.41 | 7000 | 0.1908 | 60.8005 | |
|
| 0.0274 | 2.76 | 8000 | 0.1892 | 67.0255 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.1 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.13.3 |
|
|
