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whisper_input_decoder_shift_r_labels_with_force__0035
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: 0.4444
- Train Accuracy: 0.0307
- Train Wermet: 0.1424
- Validation Loss: 0.8865
- Validation Accuracy: 0.0202
- Validation Wermet: 0.3062
- Epoch: 34
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 |
|---|---|---|---|---|---|---|
| 5.6249 | 0.0091 | 1.7162 | 4.2965 | 0.0094 | 0.9447 | 0 |
| 4.9223 | 0.0099 | 0.9041 | 4.1562 | 0.0097 | 0.9327 | 1 |
| 4.6814 | 0.0107 | 0.8376 | 3.9245 | 0.0103 | 0.8927 | 2 |
| 4.4407 | 0.0114 | 0.8311 | 3.7252 | 0.0107 | 0.8775 | 3 |
| 4.2445 | 0.0119 | 0.8228 | 3.6283 | 0.0108 | 0.8695 | 4 |
| 4.0889 | 0.0123 | 0.8067 | 3.5310 | 0.0110 | 0.8916 | 5 |
| 3.9575 | 0.0127 | 0.7908 | 3.4478 | 0.0113 | 0.8407 | 6 |
| 3.8547 | 0.0130 | 0.7781 | 3.4227 | 0.0113 | 0.8670 | 7 |
| 3.7599 | 0.0133 | 0.7654 | 3.3519 | 0.0115 | 0.8375 | 8 |
| 3.6763 | 0.0136 | 0.7543 | 3.3183 | 0.0116 | 0.8678 | 9 |
| 3.6006 | 0.0138 | 0.7421 | 3.2581 | 0.0117 | 0.8120 | 10 |
| 3.5300 | 0.0140 | 0.7296 | 3.2415 | 0.0118 | 0.8257 | 11 |
| 3.4554 | 0.0143 | 0.7179 | 3.2163 | 0.0119 | 0.8078 | 12 |
| 3.3930 | 0.0145 | 0.7057 | 3.1612 | 0.0121 | 0.7758 | 13 |
| 3.3218 | 0.0148 | 0.6946 | 3.1357 | 0.0122 | 0.7760 | 14 |
| 3.2424 | 0.0151 | 0.6806 | 3.0812 | 0.0123 | 0.7639 | 15 |
| 3.1577 | 0.0155 | 0.6633 | 3.0193 | 0.0126 | 0.7428 | 16 |
| 3.0655 | 0.0159 | 0.6454 | 2.9643 | 0.0128 | 0.7423 | 17 |
| 2.9579 | 0.0164 | 0.6271 | 2.8510 | 0.0132 | 0.7103 | 18 |
| 2.8149 | 0.0170 | 0.6022 | 2.7020 | 0.0136 | 0.6811 | 19 |
| 2.6475 | 0.0178 | 0.5775 | 2.5406 | 0.0142 | 0.6495 | 20 |
| 2.4340 | 0.0189 | 0.5451 | 2.3364 | 0.0149 | 0.6166 | 21 |
| 2.2002 | 0.0200 | 0.5065 | 2.1300 | 0.0155 | 0.5766 | 22 |
| 1.9511 | 0.0213 | 0.4658 | 1.9335 | 0.0162 | 0.5419 | 23 |
| 1.6777 | 0.0228 | 0.4184 | 1.7327 | 0.0169 | 0.5071 | 24 |
| 1.4282 | 0.0243 | 0.3754 | 1.5461 | 0.0176 | 0.4669 | 25 |
| 1.2219 | 0.0255 | 0.3365 | 1.4027 | 0.0181 | 0.4326 | 26 |
| 1.0535 | 0.0265 | 0.3016 | 1.2979 | 0.0185 | 0.4134 | 27 |
| 0.9205 | 0.0274 | 0.2731 | 1.1891 | 0.0189 | 0.3843 | 28 |
| 0.8079 | 0.0281 | 0.2453 | 1.1135 | 0.0192 | 0.3659 | 29 |
| 0.7140 | 0.0288 | 0.2218 | 1.0532 | 0.0195 | 0.3495 | 30 |
| 0.6318 | 0.0293 | 0.1975 | 0.9976 | 0.0197 | 0.3351 | 31 |
| 0.5623 | 0.0298 | 0.1770 | 0.9571 | 0.0199 | 0.3256 | 32 |
| 0.4990 | 0.0303 | 0.1582 | 0.9184 | 0.0200 | 0.3147 | 33 |
| 0.4444 | 0.0307 | 0.1424 | 0.8865 | 0.0202 | 0.3062 | 34 |
Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
