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Whisper Small Ru ORD 0.9 PEFT LoRA - Mizoru
This model is a fine-tuned version of openai/whisper-small on the ORD_0.9 dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.1645
- eval_wer: 60.0083
- eval_cer: 32.4890
- eval_clean_wer: 52.7531
- eval_clean_cer: 26.9858
- eval_runtime: 3824.1394
- eval_samples_per_second: 0.144
- eval_steps_per_second: 0.036
- epoch: 3.0
- step: 1650
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: 0.001
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 2000
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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