restaurant_test_model
This model is a fine-tuned version of openai/whisper-small on the test_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.5435
- Wer: 78.5714
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 | Wer |
|---|---|---|---|---|
| No log | 10.0 | 10 | 2.2425 | 7.1429 |
| No log | 20.0 | 20 | 0.6651 | 0.0 |
| 2.4375 | 30.0 | 30 | 0.5776 | 35.7143 |
| 2.4375 | 40.0 | 40 | 0.5435 | 78.5714 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Downloads last month
- 3
Dataset used to train figfig/whisper-small-en
Evaluation results
- Wer on test_dataself-reported78.571