|
|
--- |
|
|
language: |
|
|
- tr |
|
|
license: apache-2.0 |
|
|
base_model: openai/whisper-tiny |
|
|
tags: |
|
|
- hf-asr-leaderboard |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: Whisper Tiny TR |
|
|
results: [] |
|
|
datasets: |
|
|
- mozilla-foundation/common_voice_13_0 |
|
|
--- |
|
|
|
|
|
<!-- 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 Tiny TR |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 13 Turkish 70% dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.5730 |
|
|
- Wer: 55.4805 |
|
|
|
|
|
## Model description |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Todo |
|
|
|
|
|
Train with `mozilla-foundation/common_voice_13_0` after the initial training. |
|
|
|
|
|
## 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 |
|
|
- gradient_accumulation_steps: 2 |
|
|
- total_train_batch_size: 32 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 500 |
|
|
- num_epochs: 3.0 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
|
| 0.3106 | 0.5 | 97 | 0.5626 | 57.0558 | |
|
|
| 0.3361 | 1.0 | 194 | 0.5635 | 56.9995 | |
|
|
| 0.3089 | 1.5 | 291 | 0.5639 | 57.6184 | |
|
|
| 0.2665 | 1.99 | 388 | 0.5746 | 56.4088 | |
|
|
| 0.2794 | 2.49 | 485 | 0.5799 | 56.2213 | |
|
|
| 0.2364 | 2.99 | 582 | 0.5730 | 55.4805 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.35.0.dev0 |
|
|
- Pytorch 2.0.1+cu118 |
|
|
- Datasets 2.14.5 |
|
|
- Tokenizers 0.14.1 |
