whisper_medium_tele
This model is a fine-tuned version of openai/whisper-medium on the telephone dataset. It achieves the following results on the evaluation set:
- Loss: 0.2818
- Cer: 100.1649
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.3365 | 0.56 | 1000 | 0.3299 | 100.0 |
| 0.1956 | 1.13 | 2000 | 0.2977 | 99.9842 |
| 0.1783 | 1.69 | 3000 | 0.2822 | 99.9068 |
| 0.1185 | 2.25 | 4000 | 0.2818 | 100.1649 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0