test-whisper-tiny-th
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8711
- Cer: 34.0726
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| No log | 1.0 | 7 | 0.9381 | 35.0806 |
| 1.0157 | 2.0 | 14 | 0.8996 | 35.0806 |
| 0.7997 | 3.0 | 21 | 0.8805 | 34.6774 |
| 0.7997 | 4.0 | 28 | 0.8744 | 34.9798 |
| 0.7412 | 5.0 | 35 | 0.8711 | 34.0726 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
openai/whisper-tiny