jinkrsmodel
This model is a fine-tuned version of openai/whisper-base on the DianaJin/voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.2017
- Cer: 134.5133
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: 5
- training_steps: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| No log | 3.33 | 10 | 2.1701 | 13.2743 |
| No log | 6.67 | 20 | 1.3824 | 55.3097 |
| 1.7663 | 10.0 | 30 | 1.2305 | 164.1593 |
| 1.7663 | 13.33 | 40 | 1.2017 | 134.5133 |
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-base