WhisperTiny_Jordan_Test_1hr
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0747
- eval_wer: 126.3598
- eval_runtime: 45.2512
- eval_samples_per_second: 3.315
- eval_steps_per_second: 0.221
- epoch: 8.0
- step: 216
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 25
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for Salama1429/WhisperTiny_Jordan_Test_1hr
Base model
openai/whisper-tiny