|
--- |
|
license: apache-2.0 |
|
language: ar |
|
datasets: |
|
- AymanMansour/SDN-Dialect-Dataset |
|
- arbml/sudanese_dialect_speech |
|
- arabic_speech_corpus |
|
tags: |
|
- generated_from_trainer |
|
|
|
metrics: |
|
- wer |
|
model-index: |
|
- name: openai/whisper-small |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: SDN-Dialect-Dataset |
|
type: AymanMansour/SDN-Dialect-Dataset |
|
args: 'config: hi, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 56.3216 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# openai/whisper-small |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.5091 |
|
- Wer: 56.3216 |
|
|
|
## 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: 64 |
|
- eval_batch_size: 32 |
|
- 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: 5000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.0157 | 13.0 | 1000 | 1.1631 | 65.9101 | |
|
| 0.0025 | 26.0 | 2000 | 1.3416 | 58.5066 | |
|
| 0.0009 | 39.01 | 3000 | 1.4238 | 56.6398 | |
|
| 0.0004 | 52.01 | 4000 | 1.4800 | 56.3004 | |
|
| 0.0002 | 65.01 | 5000 | 1.5091 | 56.3216 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.0+cu117 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
