metadata
language:
- hi
base_model: openai/whisper-largev2
tags:
- generated_from_trainer
model-index:
- name: 'Whisper Small ar - Ali '
results: []
Whisper Small ar - Ali
This model is a fine-tuned version of openai/whisper-largev2 on the Ground truth 1 dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.7677
- eval_wer: 79.7688
- eval_runtime: 12.142
- eval_samples_per_second: 0.824
- eval_steps_per_second: 0.165
- epoch: 14.0
- step: 84
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
- num_epochs: 20
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1