Asma50AA/trail-with-517-whisper-small-ar
05
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trail-with-517-whisper-small-ar
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.7954
- eval_wer: 46.2178
- eval_runtime: 160.3806
- evalsamplesper_second: 0.935
- evalstepsper_second: 0.118
- epoch: 11.0
- step: 363
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
- trainbatchsize: 16
- evalbatchsize: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- num_epochs: 15
- mixedprecisiontraining: Native AMP
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
