|
--- |
|
language: |
|
- ar |
|
license: apache-2.0 |
|
base_model: openai/whisper-medium |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- Arbi-Houssem/comondv |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Tunisien |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: comondv |
|
type: Arbi-Houssem/comondv |
|
args: 'config: ar, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 100.40518638573744 |
|
--- |
|
|
|
<!-- 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-medium](https://huggingface.co/openai/whisper-medium) on the comondov dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 6.9324 |
|
- Wer: 100.4052 |
|
|
|
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 2000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.5017 | 100.0 | 300 | 6.1135 | 163.5332 | |
|
| 0.0224 | 200.0 | 600 | 6.5103 | 105.8347 | |
|
| 0.0101 | 300.0 | 900 | 6.8122 | 105.8347 | |
|
| 0.0095 | 400.0 | 1200 | 6.8766 | 100.0 | |
|
| 0.0093 | 500.0 | 1500 | 6.9174 | 100.0 | |
|
| 0.0091 | 600.0 | 1800 | 6.9324 | 100.4052 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.0.dev0 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
