Whisper Small ru2-pl - AIIA
This model is a fine-tuned version of Maks545curve/whisper-small-ru-pl-a on the Common Voice 17 dataset.
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 70
- training_steps: 1000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Maks545curve/whisper-small-ru2-pl-a
Base model
openai/whisper-small
Finetuned
Maks545curve/whisper-small-ru-a
Finetuned
Maks545curve/whisper-small-ru-pl-a