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whisper-medium-finetuned-finetuned-finetuned
This model is a fine-tuned version of KevinKibe/whisper-medium-finetuned on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- eval_loss: 3.7072
- eval_wer: 110.9650
- eval_runtime: 1067.5914
- eval_samples_per_second: 0.468
- eval_steps_per_second: 0.03
- epoch: 0.25
- step: 25
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.11.1
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.15.2
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