outs
This model is a fine-tuned version of biodatlab/whisper-th-small-combined on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4709
- Cer: 22.5692
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: 8e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.331 | 1.0 | 1073 | 0.5864 | 28.8840 |
| 0.0946 | 2.0 | 2146 | 0.5397 | 29.5025 |
| 0.0442 | 3.0 | 3219 | 0.4709 | 22.5692 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for Phakphum/outs
Base model
openai/whisper-small
Finetuned
biodatlab/whisper-th-small-combined