<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
whisper_input_decoder_no_lob_with_force__0005
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 4.6308
- Train Accuracy: 0.0118
- Train Wermet: 0.8337
- Validation Loss: 3.8853
- Validation Accuracy: 0.0114
- Validation Wermet: 0.9495
- Epoch: 4
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
|---|---|---|---|---|---|---|
| 5.4192 | 0.0107 | 1.1095 | 3.9799 | 0.0114 | 0.9502 | 0 |
| 4.7193 | 0.0116 | 0.8751 | 3.9335 | 0.0114 | 0.9414 | 1 |
| 4.6743 | 0.0117 | 0.8498 | 3.9949 | 0.0112 | 0.9682 | 2 |
| 4.6508 | 0.0117 | 0.8454 | 3.8900 | 0.0114 | 0.9453 | 3 |
| 4.6308 | 0.0118 | 0.8337 | 3.8853 | 0.0114 | 0.9495 | 4 |
Framework versions
- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
