jinkrsmodel
This model is a fine-tuned version of openai/whisper-medium on the DianaJin/starstar dataset. It achieves the following results on the evaluation set:
- Loss: 0.8269
- Cer: 9.2920
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: 50
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.0011 | 50.0 | 100 | 0.6455 | 9.2920 |
| 0.0003 | 100.0 | 200 | 0.7593 | 9.2920 |
| 0.0003 | 150.0 | 300 | 0.8092 | 9.2920 |
| 0.0003 | 200.0 | 400 | 0.8269 | 9.2920 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
openai/whisper-medium