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In adapter_config.json: "peft.task_type" must be a string
whisper-medium-finetuned
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.4751
- eval_wer: 89.3523
- eval_runtime: 1572.8468
- eval_samples_per_second: 0.159
- eval_steps_per_second: 0.02
- epoch: 9.012
- step: 300
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 1000
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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