metadata
library_name: transformers
language:
- ps
license: mit
base_model: ihanif/whisper-turbo-ar-v2
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
model-index:
- name: Whisper Turbo - Hanif Rahman
results: []
Whisper Turbo - Hanif Rahman
This model is a fine-tuned version of ihanif/whisper-turbo-ar-v2 on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.9315
- eval_wer_ortho: 867.0862
- eval_wer: 880.1660
- eval_runtime: 1478.3887
- eval_samples_per_second: 1.09
- eval_steps_per_second: 0.068
- epoch: 1.8779
- step: 400
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1