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whisper_new_split_0055
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: 0.0035
- Train Accuracy: 0.0335
- Train Wermet: 30.4281
- Validation Loss: 0.4911
- Validation Accuracy: 0.0316
- Validation Wermet: 30.4131
- Epoch: 54
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 |
---|---|---|---|---|---|---|
5.1027 | 0.0113 | 52.5530 | 4.4267 | 0.0121 | 41.4796 | 0 |
4.3285 | 0.0126 | 38.6893 | 3.9835 | 0.0145 | 33.6050 | 1 |
3.4573 | 0.0168 | 30.7714 | 2.5568 | 0.0215 | 31.7559 | 2 |
2.0878 | 0.0226 | 20.5131 | 1.5738 | 0.0257 | 21.2159 | 3 |
1.3529 | 0.0258 | 17.4367 | 1.1712 | 0.0276 | 17.7695 | 4 |
0.9953 | 0.0275 | 18.7308 | 0.9389 | 0.0287 | 20.5259 | 5 |
0.7852 | 0.0286 | 18.5731 | 0.8074 | 0.0294 | 17.6576 | 6 |
0.6428 | 0.0293 | 18.2945 | 0.7219 | 0.0298 | 19.9850 | 7 |
0.5384 | 0.0299 | 18.9258 | 0.6610 | 0.0301 | 18.9327 | 8 |
0.4565 | 0.0304 | 19.0749 | 0.6117 | 0.0304 | 21.9796 | 9 |
0.3901 | 0.0308 | 19.2099 | 0.5693 | 0.0306 | 18.0965 | 10 |
0.3348 | 0.0312 | 20.4777 | 0.5449 | 0.0307 | 19.9518 | 11 |
0.2877 | 0.0315 | 20.3181 | 0.5232 | 0.0309 | 20.4017 | 12 |
0.2471 | 0.0318 | 19.2073 | 0.5057 | 0.0310 | 18.7612 | 13 |
0.2120 | 0.0320 | 19.0961 | 0.4925 | 0.0311 | 22.3187 | 14 |
0.1809 | 0.0323 | 20.7944 | 0.4849 | 0.0311 | 27.2314 | 15 |
0.1539 | 0.0325 | 22.0951 | 0.4787 | 0.0312 | 25.2171 | 16 |
0.1299 | 0.0327 | 22.7652 | 0.4733 | 0.0312 | 22.7492 | 17 |
0.1087 | 0.0329 | 25.2223 | 0.4701 | 0.0312 | 28.9044 | 18 |
0.0899 | 0.0330 | 24.8354 | 0.4715 | 0.0313 | 21.1618 | 19 |
0.0739 | 0.0332 | 25.4987 | 0.4680 | 0.0313 | 29.6304 | 20 |
0.0604 | 0.0333 | 27.6465 | 0.4693 | 0.0313 | 27.6937 | 21 |
0.0498 | 0.0333 | 27.7045 | 0.4711 | 0.0313 | 27.5013 | 22 |
0.0414 | 0.0334 | 28.0547 | 0.4689 | 0.0313 | 29.1776 | 23 |
0.0327 | 0.0334 | 27.5594 | 0.4718 | 0.0313 | 31.5623 | 24 |
0.0256 | 0.0335 | 27.3983 | 0.4710 | 0.0313 | 27.1071 | 25 |
0.0210 | 0.0335 | 24.7398 | 0.4736 | 0.0313 | 30.8282 | 26 |
0.0165 | 0.0335 | 25.1927 | 0.4773 | 0.0313 | 24.1750 | 27 |
0.0133 | 0.0335 | 25.6261 | 0.4807 | 0.0313 | 29.9520 | 28 |
0.0110 | 0.0335 | 25.8127 | 0.4825 | 0.0314 | 27.0813 | 29 |
0.0171 | 0.0335 | 26.0445 | 0.4858 | 0.0313 | 39.8503 | 30 |
0.0154 | 0.0335 | 28.6186 | 0.4766 | 0.0314 | 28.4465 | 31 |
0.0094 | 0.0335 | 27.8978 | 0.4778 | 0.0314 | 28.7775 | 32 |
0.0071 | 0.0335 | 27.8180 | 0.4775 | 0.0314 | 28.5229 | 33 |
0.0054 | 0.0335 | 27.4530 | 0.4807 | 0.0315 | 30.3598 | 34 |
0.0043 | 0.0335 | 27.2908 | 0.4833 | 0.0315 | 29.9185 | 35 |
0.0036 | 0.0335 | 27.9772 | 0.4870 | 0.0315 | 29.0761 | 36 |
0.0031 | 0.0335 | 29.0235 | 0.4901 | 0.0315 | 31.1068 | 37 |
0.0027 | 0.0335 | 28.2433 | 0.4930 | 0.0315 | 30.2512 | 38 |
0.0024 | 0.0335 | 33.0830 | 0.4968 | 0.0315 | 35.0547 | 39 |
0.0152 | 0.0334 | 30.0515 | 0.4999 | 0.0314 | 31.3169 | 40 |
0.0095 | 0.0335 | 30.0595 | 0.4917 | 0.0315 | 25.2631 | 41 |
0.0038 | 0.0335 | 23.3205 | 0.4882 | 0.0315 | 22.6513 | 42 |
0.0028 | 0.0335 | 23.9223 | 0.4847 | 0.0315 | 28.0730 | 43 |
0.0023 | 0.0335 | 28.1808 | 0.4919 | 0.0315 | 33.1382 | 44 |
0.0036 | 0.0335 | 32.2064 | 0.4898 | 0.0315 | 27.6573 | 45 |
0.0032 | 0.0335 | 31.5153 | 0.4964 | 0.0315 | 38.2573 | 46 |
0.0025 | 0.0335 | 35.6323 | 0.4925 | 0.0315 | 24.0359 | 47 |
0.0023 | 0.0335 | 30.3651 | 0.4937 | 0.0315 | 29.2069 | 48 |
0.0023 | 0.0335 | 32.4053 | 0.4968 | 0.0315 | 38.3220 | 49 |
0.0020 | 0.0335 | 39.4820 | 0.5002 | 0.0315 | 35.0649 | 50 |
0.0021 | 0.0335 | 33.6737 | 0.5188 | 0.0314 | 32.5078 | 51 |
0.0057 | 0.0335 | 31.5887 | 0.5069 | 0.0315 | 29.0739 | 52 |
0.0053 | 0.0335 | 30.3396 | 0.4958 | 0.0316 | 30.4228 | 53 |
0.0035 | 0.0335 | 30.4281 | 0.4911 | 0.0316 | 30.4131 | 54 |
Framework versions
- Transformers 4.27.0.dev0
- TensorFlow 2.11.0
- Tokenizers 0.13.2