metadata
language:
- ar
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small Arabic - Vashesh Jogani
results: []
Whisper Small Arabic - Vashesh Jogani
This model is a fine-tuned version of openai/whisper-small on the Arabic Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6893
- Wer: 1.0
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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8346 | 0.05 | 1000 | 0.8098 | 1.0 |
| 0.7309 | 0.1 | 2000 | 0.7476 | 1.0 |
| 0.686 | 0.15 | 3000 | 0.7093 | 1.0 |
| 0.7186 | 0.2 | 4000 | 0.6893 | 1.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.5
- Tokenizers 0.14.1