distilwhisper_finetune
This model is a fine-tuned version of distil-whisper/distil-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0432
- eval_wer: 3.2604
- eval_runtime: 848.1823
- eval_samples_per_second: 0.825
- eval_steps_per_second: 0.104
- epoch: 1.7857
- step: 250
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: 1e-05
- train_batch_size: 20
- 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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for jimjakdiend/distilwhisper_finetune
Base model
distil-whisper/distil-large-v3