80 lines
1.9 KiB
Markdown
80 lines
1.9 KiB
Markdown
---
|
|
library_name: transformers
|
|
license: apache-2.0
|
|
base_model: openai/whisper-large-v3-turbo
|
|
tags:
|
|
- generated_from_trainer
|
|
datasets:
|
|
- common_voice_11_0
|
|
metrics:
|
|
- wer
|
|
model-index:
|
|
- name: whisper-large-v3-turbo-arabic
|
|
results:
|
|
- task:
|
|
name: Automatic Speech Recognition
|
|
type: automatic-speech-recognition
|
|
dataset:
|
|
name: common_voice_11_0
|
|
type: common_voice_11_0
|
|
config: ar
|
|
split: test[:500]
|
|
args: ar
|
|
metrics:
|
|
- name: Wer
|
|
type: wer
|
|
value: 31.1455360782715
|
|
---
|
|
|
|
<!-- 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-large-v3-turbo-arabic
|
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the common_voice_11_0 dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.4623
|
|
- Wer Ortho: 51.0187
|
|
- Wer: 31.1455
|
|
|
|
## 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: 16
|
|
- seed: 42
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
- lr_scheduler_type: constant_with_warmup
|
|
- lr_scheduler_warmup_steps: 30
|
|
- training_steps: 100
|
|
- mixed_precision_training: Native AMP
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|
|
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
|
|
| 0.3383 | 0.0416 | 100 | 0.4623 | 51.0187 | 31.1455 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.45.1
|
|
- Pytorch 2.4.1+cu121
|
|
- Datasets 3.0.1
|
|
- Tokenizers 0.20.0
|