Whisper Small new-ru-pl-bg AIIA
This model is a fine-tuned version of Maks545curve/whisper-small-new-ru-pl-a on the Common Voice 17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4125
- Wer Ortho: 30.7445
- Wer: 24.0835
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.3229 | 2.1008 | 500 | 0.3644 | 29.8090 | 23.6728 |
| 0.0447 | 4.2017 | 1000 | 0.4125 | 30.7445 | 24.0835 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cpu
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Maks545curve/whisper-small-new-ru-pl-bg-a
Base model
openai/whisper-small
Finetuned
Maks545curve/whisper-small-new-ru-a
Finetuned
Maks545curve/whisper-small-new-ru-pl-a