metadata
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
- generated_from_trainer
model-index:
- name: with-harakah
results: []
with-harakah
This model is a fine-tuned version of openai/whisper-large-v3-turbo on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0044
- eval_wer: 9.4689
- eval_runtime: 9757.536
- eval_samples_per_second: 2.05
- eval_steps_per_second: 0.171
- epoch: 2.0691
- step: 137500
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: 8
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Framework versions
- Transformers 4.40.0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1