|
--- |
|
language: |
|
- ar |
|
license: apache-2.0 |
|
base_model: uaepro/whisper-small-ar-2 |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_16_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small ar - majed test |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 16.0 |
|
type: mozilla-foundation/common_voice_16_0 |
|
config: ar |
|
split: test |
|
args: 'config: ar, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 168.22177271055537 |
|
--- |
|
|
|
<!-- 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 Small ar - majed test |
|
|
|
This model is a fine-tuned version of [uaepro/whisper-small-ar-2](https://huggingface.co/uaepro/whisper-small-ar-2) on the Common Voice 16.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3392 |
|
- Wer: 168.2218 |
|
|
|
## 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 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.1459 | 0.41 | 1000 | 0.3714 | 182.4752 | |
|
| 0.1378 | 0.82 | 2000 | 0.3486 | 177.9993 | |
|
| 0.0738 | 1.24 | 3000 | 0.3513 | 184.2939 | |
|
| 0.0855 | 1.65 | 4000 | 0.3392 | 168.2218 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.2 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
|
|
