Whisper tiny Albanian Test
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 16 Albanian dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0015
- eval_wer: 51.0387
- eval_runtime: 134.3539
- eval_samples_per_second: 2.858
- eval_steps_per_second: 0.357
- epoch: 37.04
- step: 2000
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
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
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Model tree for rishabhjain16/whisper-small_to_cv_albanian
Base model
openai/whisper-tiny