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whisper_input_decoder_no_lob__0045
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: 0.8101
- Train Accuracy: 0.0288
- Train Wermet: 0.2355
- Validation Loss: 1.2120
- Validation Accuracy: 0.0200
- Validation Wermet: 0.3597
- Epoch: 44
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 |
|---|---|---|---|---|---|---|
| 5.4122 | 0.0107 | 0.9328 | 3.9759 | 0.0114 | 0.9606 | 0 |
| 4.7176 | 0.0116 | 0.8683 | 3.9404 | 0.0114 | 0.9334 | 1 |
| 4.6750 | 0.0117 | 0.8478 | 3.9211 | 0.0115 | 0.9237 | 2 |
| 4.6511 | 0.0117 | 0.8413 | 3.8864 | 0.0115 | 0.9331 | 3 |
| 4.6294 | 0.0118 | 0.8270 | 3.8729 | 0.0115 | 0.9228 | 4 |
| 4.6134 | 0.0118 | 0.8199 | 3.8690 | 0.0114 | 0.9451 | 5 |
| 4.5980 | 0.0118 | 0.8102 | 3.8491 | 0.0115 | 0.9152 | 6 |
| 4.5759 | 0.0119 | 0.7890 | 3.8366 | 0.0116 | 0.8691 | 7 |
| 4.5518 | 0.0120 | 0.7694 | 3.8081 | 0.0116 | 0.9013 | 8 |
| 4.5219 | 0.0121 | 0.7591 | 3.7734 | 0.0118 | 0.8383 | 9 |
| 4.4761 | 0.0122 | 0.7400 | 3.7156 | 0.0120 | 0.8125 | 10 |
| 4.4139 | 0.0125 | 0.7257 | 3.6311 | 0.0121 | 0.8188 | 11 |
| 4.3113 | 0.0128 | 0.7127 | 3.5089 | 0.0124 | 0.8008 | 12 |
| 4.1608 | 0.0132 | 0.7088 | 3.3587 | 0.0127 | 0.7742 | 13 |
| 3.9595 | 0.0138 | 0.7012 | 3.1493 | 0.0132 | 0.7718 | 14 |
| 3.7188 | 0.0145 | 0.6820 | 2.8784 | 0.0139 | 0.7292 | 15 |
| 3.4775 | 0.0153 | 0.6678 | 2.6716 | 0.0144 | 0.7074 | 16 |
| 3.2575 | 0.0160 | 0.6481 | 2.4980 | 0.0149 | 0.6764 | 17 |
| 3.0615 | 0.0167 | 0.6314 | 2.3456 | 0.0153 | 0.6476 | 18 |
| 2.8715 | 0.0174 | 0.6094 | 2.2090 | 0.0158 | 0.6210 | 19 |
| 2.6930 | 0.0181 | 0.5931 | 2.0918 | 0.0162 | 0.5992 | 20 |
| 2.5383 | 0.0187 | 0.5739 | 1.9769 | 0.0166 | 0.5791 | 21 |
| 2.3952 | 0.0193 | 0.5512 | 1.9042 | 0.0168 | 0.5589 | 22 |
| 2.2427 | 0.0201 | 0.5333 | 1.8028 | 0.0172 | 0.5394 | 23 |
| 2.1236 | 0.0206 | 0.5174 | 1.7434 | 0.0174 | 0.5240 | 24 |
| 2.0315 | 0.0211 | 0.4978 | 1.6755 | 0.0177 | 0.5084 | 25 |
| 1.9066 | 0.0217 | 0.4773 | 1.6534 | 0.0178 | 0.4947 | 26 |
| 1.8279 | 0.0221 | 0.4596 | 1.5606 | 0.0182 | 0.4788 | 27 |
| 1.7325 | 0.0227 | 0.4412 | 1.5173 | 0.0184 | 0.4667 | 28 |
| 1.6416 | 0.0232 | 0.4199 | 1.4733 | 0.0186 | 0.4511 | 29 |
| 1.5702 | 0.0236 | 0.4028 | 1.4519 | 0.0187 | 0.4442 | 30 |
| 1.4787 | 0.0241 | 0.3839 | 1.4213 | 0.0188 | 0.4322 | 31 |
| 1.4238 | 0.0244 | 0.3700 | 1.3971 | 0.0190 | 0.4272 | 32 |
| 1.3561 | 0.0249 | 0.3594 | 1.3499 | 0.0192 | 0.4171 | 33 |
| 1.2828 | 0.0254 | 0.3431 | 1.3555 | 0.0192 | 0.4097 | 34 |
| 1.2318 | 0.0257 | 0.3277 | 1.3183 | 0.0194 | 0.4035 | 35 |
| 1.1668 | 0.0262 | 0.3201 | 1.3068 | 0.0195 | 0.3978 | 36 |
| 1.1571 | 0.0261 | 0.3105 | 1.2901 | 0.0195 | 0.3916 | 37 |
| 1.0812 | 0.0267 | 0.2989 | 1.2720 | 0.0197 | 0.3860 | 38 |
| 1.0134 | 0.0273 | 0.2863 | 1.2593 | 0.0197 | 0.3777 | 39 |
| 0.9986 | 0.0273 | 0.2769 | 1.2629 | 0.0198 | 0.3754 | 40 |
| 0.9322 | 0.0279 | 0.2653 | 1.2320 | 0.0199 | 0.3694 | 41 |
| 0.9021 | 0.0281 | 0.2552 | 1.2308 | 0.0200 | 0.3651 | 42 |
| 0.8583 | 0.0284 | 0.2444 | 1.2199 | 0.0200 | 0.3614 | 43 |
| 0.8101 | 0.0288 | 0.2355 | 1.2120 | 0.0200 | 0.3597 | 44 |
Framework versions
- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
