Whisper Large EALB
This model is a fine-tuned version of distil-whisper/distil-large-v3 on the ek9624/alb_spoken_ealbania.
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
- training_steps: 2634
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.1
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for ek9624/whisper-distil-large-v3-ealb
Base model
distil-whisper/distil-large-v3