|
--- |
|
language: |
|
- ar |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- Arbi-Houssem/datasetSTT-TTS |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Tunisien |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: datasetSTT-TTS |
|
type: Arbi-Houssem/datasetSTT-TTS |
|
args: 'config: ar, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 69.09469302809573 |
|
--- |
|
|
|
<!-- 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 Tunisien |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the datasetSTT-TTS dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.1002 |
|
- Wer: 69.0947 |
|
|
|
## 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-07 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- 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: 7000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 1.2207 | 62.5 | 500 | 2.2689 | 90.9469 | |
|
| 0.8267 | 125.0 | 1000 | 2.0114 | 80.4370 | |
|
| 0.6297 | 187.5 | 1500 | 1.9396 | 73.5692 | |
|
| 0.5283 | 250.0 | 2000 | 1.9364 | 70.5515 | |
|
| 0.4231 | 312.5 | 2500 | 1.9509 | 70.4475 | |
|
| 0.3683 | 375.0 | 3000 | 1.9729 | 74.2976 | |
|
| 0.319 | 437.5 | 3500 | 1.9950 | 73.2570 | |
|
| 0.2884 | 500.0 | 4000 | 2.0182 | 72.6327 | |
|
| 0.259 | 562.5 | 4500 | 2.0410 | 72.5286 | |
|
| 0.2364 | 625.0 | 5000 | 2.0619 | 69.0947 | |
|
| 0.2181 | 687.5 | 5500 | 2.0780 | 69.0947 | |
|
| 0.2133 | 750.0 | 6000 | 2.0901 | 68.8866 | |
|
| 0.201 | 812.5 | 6500 | 2.0979 | 68.8866 | |
|
| 0.2033 | 875.0 | 7000 | 2.1002 | 69.0947 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.0.dev0 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
