Whisper Large TH - Nonhmello
This model is a fine-tuned version of openai/whisper-large on the Custom dataset on local machine dataset. It achieves the following results on the evaluation set:
- Loss: 0.3642
- Wer: 50.0
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: 16
- 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: 200
- training_steps: 800
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0 | 400.0 | 400 | 0.3334 | 50.0 |
| 0.0 | 800.0 | 800 | 0.3642 | 50.0 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for nonhmello/whisper_large_mello
Base model
openai/whisper-large