Whisper Small Ar- Martha
This model is a fine-tuned version of openai/whisper-small on the MyOwnData dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.6636
- eval_wer: 48.2981
- eval_runtime: 6533.5828
- eval_samples_per_second: 0.866
- eval_steps_per_second: 0.866
- epoch: 0.01
- step: 5
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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5655
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
- Downloads last month
- 1