--- language: - ru license: apache-2.0 base_model: openai/whisper-medium tags: - FS_phone_calls - generated_from_trainer datasets: - FS-phone-calls metrics: - wer model-index: - name: whisper-medium-v1 results: [] --- # whisper-medium-v1 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the FS_phone_calls dataset. It achieves the following results on the evaluation set: - Loss: 0.2038 - Wer: 0.1553 ## 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-06 - train_batch_size: 4 - eval_batch_size: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1 - training_steps: 156 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:------:| | 1.3851 | 0.01 | 1 | 1.3618 | 0.7022 | | 1.3592 | 0.03 | 2 | 1.3618 | 0.7022 | | 1.3161 | 0.04 | 3 | 1.3618 | 0.7022 | | 1.3345 | 0.06 | 4 | 1.1804 | 0.8059 | | 1.4398 | 0.07 | 5 | 1.1408 | 0.5451 | | 1.2986 | 0.08 | 6 | 1.1120 | 0.5328 | | 1.6042 | 0.1 | 7 | 1.0866 | 0.5552 | | 1.2198 | 0.11 | 8 | 1.0557 | 0.5451 | | 0.9403 | 0.13 | 9 | 1.0209 | 0.5282 | | 0.8978 | 0.14 | 10 | 0.9880 | 0.4724 | | 1.6951 | 0.15 | 11 | 0.9619 | 0.4204 | | 0.8423 | 0.17 | 12 | 0.9425 | 0.4132 | | 1.3482 | 0.18 | 13 | 0.9270 | 0.4155 | | 0.8783 | 0.2 | 14 | 0.9154 | 0.3754 | | 0.9994 | 0.21 | 15 | 0.9050 | 0.3399 | | 0.9805 | 0.23 | 16 | 0.8947 | 0.3368 | | 0.9782 | 0.24 | 17 | 0.8844 | 0.3361 | | 1.0236 | 0.25 | 18 | 0.8750 | 0.3345 | | 0.8005 | 0.27 | 19 | 0.8647 | 0.3335 | | 0.7419 | 0.28 | 20 | 0.8547 | 0.3322 | | 1.0348 | 0.3 | 21 | 0.8451 | 0.3348 | | 0.9592 | 0.31 | 22 | 0.8361 | 0.3322 | | 1.23 | 0.32 | 23 | 0.8287 | 0.3330 | | 0.8397 | 0.34 | 24 | 0.8225 | 0.3312 | | 0.9839 | 0.35 | 25 | 0.8171 | 0.3296 | | 0.862 | 0.37 | 26 | 0.8118 | 0.3286 | | 0.6045 | 0.38 | 27 | 0.8071 | 0.3281 | | 0.7948 | 0.39 | 28 | 0.8025 | 0.3281 | | 0.6693 | 0.41 | 29 | 0.7977 | 0.3692 | | 0.7191 | 0.42 | 30 | 0.7930 | 0.3680 | | 1.0364 | 0.44 | 31 | 0.7888 | 0.3268 | | 0.7458 | 0.45 | 32 | 0.7852 | 0.3286 | | 0.6369 | 0.46 | 33 | 0.7817 | 0.3291 | | 0.8618 | 0.48 | 34 | 0.7781 | 0.3291 | | 0.7303 | 0.49 | 35 | 0.7747 | 0.3291 | | 0.7667 | 0.51 | 36 | 0.7713 | 0.3268 | | 0.8733 | 0.52 | 37 | 0.7680 | 0.3268 | | 0.7262 | 0.54 | 38 | 0.7650 | 0.3227 | | 0.746 | 0.55 | 39 | 0.7623 | 0.3194 | | 0.7106 | 0.56 | 40 | 0.7598 | 0.3204 | | 0.6862 | 0.58 | 41 | 0.7576 | 0.3209 | | 1.2068 | 0.59 | 42 | 0.7555 | 0.3209 | | 0.8285 | 0.61 | 43 | 0.7537 | 0.3206 | | 0.9254 | 0.62 | 44 | 0.7521 | 0.3186 | | 0.7495 | 0.63 | 45 | 0.7508 | 0.3188 | | 0.7105 | 0.65 | 46 | 0.7496 | 0.3170 | | 0.731 | 0.66 | 47 | 0.7486 | 0.3152 | | 0.8015 | 0.68 | 48 | 0.7478 | 0.3152 | | 0.931 | 0.69 | 49 | 0.7471 | 0.3152 | | 0.6324 | 0.7 | 50 | 0.7466 | 0.3155 | | 0.5111 | 0.72 | 51 | 0.7145 | 0.2716 | | 0.5398 | 0.73 | 52 | 0.7013 | 0.2663 | | 0.8491 | 0.75 | 53 | 0.7013 | 0.2663 | | 0.6479 | 0.76 | 54 | 0.6906 | 0.2644 | | 0.5161 | 0.77 | 55 | 0.6815 | 0.2608 | | 0.7262 | 0.79 | 56 | 0.6739 | 0.2633 | | 0.606 | 0.8 | 57 | 0.6665 | 0.2644 | | 0.773 | 0.82 | 58 | 0.6594 | 0.2650 | | 0.6815 | 0.83 | 59 | 0.6518 | 0.2730 | | 0.5886 | 0.85 | 60 | 0.6436 | 0.2708 | | 0.5243 | 0.86 | 61 | 0.6436 | 0.2708 | | 0.4213 | 0.87 | 62 | 0.6367 | 0.2733 | | 0.5213 | 0.89 | 63 | 0.6319 | 0.2760 | | 0.8247 | 0.9 | 64 | 0.6277 | 0.2785 | | 0.7444 | 0.92 | 65 | 0.6230 | 0.2816 | | 0.7056 | 0.93 | 66 | 0.6171 | 0.2802 | | 0.667 | 0.94 | 67 | 0.6105 | 0.2785 | | 0.3999 | 0.96 | 68 | 0.6029 | 0.2749 | | 0.6285 | 0.97 | 69 | 0.5966 | 0.2757 | | 0.537 | 0.99 | 70 | 0.5917 | 0.2752 | | 0.3534 | 1.0 | 71 | 0.5912 | 0.2699 | | 0.3613 | 1.01 | 72 | 0.5918 | 0.2633 | | 0.5215 | 1.03 | 73 | 0.5925 | 0.2666 | | 0.8283 | 1.04 | 74 | 0.5910 | 0.2661 | | 0.5645 | 1.06 | 75 | 0.5872 | 0.2669 | | 0.3813 | 1.07 | 76 | 0.5814 | 0.2655 | | 0.5916 | 1.08 | 77 | 0.5750 | 0.2647 | | 0.5135 | 1.1 | 78 | 0.5690 | 0.2611 | | 0.5852 | 1.11 | 79 | 0.5640 | 0.2619 | | 0.3307 | 1.13 | 80 | 0.5610 | 0.2575 | | 0.6206 | 1.14 | 81 | 0.5588 | 0.2558 | | 0.4794 | 1.15 | 82 | 0.5562 | 0.2555 | | 0.4213 | 1.17 | 83 | 0.5536 | 0.2564 | | 0.5264 | 1.18 | 84 | 0.5506 | 0.2594 | | 0.3956 | 1.2 | 85 | 0.5474 | 0.2583 | | 0.3321 | 1.21 | 86 | 0.5448 | 0.2580 | | 0.3627 | 1.23 | 87 | 0.5422 | 0.2591 | | 0.3872 | 1.24 | 88 | 0.5400 | 0.2600 | | 0.4919 | 1.25 | 89 | 0.5369 | 0.2616 | | 0.4247 | 1.27 | 90 | 0.5338 | 0.2605 | | 0.7103 | 1.28 | 91 | 0.5297 | 0.2586 | | 0.3547 | 1.3 | 92 | 0.5260 | 0.2586 | | 0.2676 | 1.31 | 93 | 0.5216 | 0.2580 | | 0.8941 | 1.32 | 94 | 0.5169 | 0.2594 | | 0.4403 | 1.34 | 95 | 0.5117 | 0.2594 | | 0.3067 | 1.35 | 96 | 0.5070 | 0.2602 | | 0.2869 | 1.37 | 97 | 0.5024 | 0.2619 | | 0.4016 | 1.38 | 98 | 0.4976 | 0.2627 | | 0.4335 | 1.39 | 99 | 0.4934 | 0.2644 | | 0.5381 | 1.41 | 100 | 0.4877 | 0.2644 | | 0.3677 | 1.42 | 101 | 0.4808 | 0.2583 | | 0.499 | 1.44 | 102 | 0.4731 | 0.2583 | | 0.5656 | 1.45 | 103 | 0.4663 | 0.2575 | | 0.3133 | 1.46 | 104 | 0.4607 | 0.2572 | | 0.6015 | 1.48 | 105 | 0.4557 | 0.2572 | | 0.4748 | 1.49 | 106 | 0.4515 | 0.2564 | | 0.4336 | 1.51 | 107 | 0.4479 | 0.2564 | | 0.433 | 1.52 | 108 | 0.4443 | 0.2550 | | 0.2138 | 1.54 | 109 | 0.4409 | 0.2533 | | 0.221 | 1.55 | 110 | 0.4387 | 0.2542 | | 0.3434 | 1.56 | 111 | 0.4379 | 0.2536 | | 0.3193 | 1.58 | 112 | 0.4414 | 0.2508 | | 0.3732 | 1.59 | 113 | 0.4448 | 0.2486 | | 0.1977 | 1.61 | 114 | 0.4442 | 0.2494 | | 0.2772 | 1.62 | 115 | 0.4401 | 0.2481 | | 0.3893 | 1.63 | 116 | 0.4352 | 0.2478 | | 0.3424 | 1.65 | 117 | 0.4311 | 0.2458 | | 0.5052 | 1.66 | 118 | 0.4285 | 0.2456 | | 0.5281 | 1.68 | 119 | 0.4266 | 0.2464 | | 0.248 | 1.69 | 120 | 0.4256 | 0.2447 | | 0.2911 | 1.7 | 121 | 0.4249 | 0.2442 | | 0.1723 | 1.72 | 122 | 0.4247 | 0.2434 | | 0.1987 | 1.73 | 123 | 0.4247 | 0.2475 | | 0.4155 | 1.75 | 124 | 0.4249 | 0.2456 | | 0.3602 | 1.76 | 125 | 0.4247 | 0.2450 | | 0.4435 | 1.77 | 126 | 0.4243 | 0.2467 | | 0.1951 | 1.79 | 127 | 0.4242 | 0.2472 | | 0.2449 | 1.8 | 128 | 0.4242 | 0.2478 | | 0.3351 | 1.82 | 129 | 0.4240 | 0.2530 | | 0.3099 | 1.83 | 130 | 0.4240 | 0.2550 | | 0.3729 | 1.85 | 131 | 0.4241 | 0.2542 | | 0.5431 | 1.86 | 132 | 0.4237 | 0.2539 | | 0.2896 | 1.87 | 133 | 0.4233 | 0.2544 | | 0.2678 | 1.89 | 134 | 0.4227 | 0.2544 | | 0.4447 | 1.9 | 135 | 0.4218 | 0.2519 | | 0.3563 | 1.92 | 136 | 0.4208 | 0.2486 | | 0.2154 | 1.93 | 137 | 0.4201 | 0.2486 | | 0.4183 | 1.94 | 138 | 0.4193 | 0.2453 | | 0.5911 | 1.96 | 139 | 0.4185 | 0.2456 | | 0.1677 | 1.97 | 140 | 0.4180 | 0.2486 | | 0.2831 | 1.99 | 141 | 0.4177 | 0.2470 | | 0.502 | 2.0 | 142 | 0.4178 | 0.2494 | | 0.2007 | 2.01 | 143 | 0.4177 | 0.2492 | | 0.0994 | 2.03 | 144 | 0.4183 | 0.2539 | | 0.0823 | 2.04 | 145 | 0.4192 | 0.2547 | | 0.217 | 2.06 | 146 | 0.4199 | 0.2569 | | 0.224 | 2.07 | 147 | 0.4206 | 0.2555 | | 0.2767 | 2.08 | 148 | 0.4208 | 0.2542 | | 0.1879 | 2.1 | 149 | 0.4203 | 0.2528 | | 0.1974 | 2.11 | 150 | 0.4199 | 0.2578 | | 0.1788 | 2.13 | 151 | 0.4196 | 0.2558 | | 0.1505 | 2.14 | 152 | 0.4191 | 0.2483 | | 0.1873 | 2.15 | 153 | 0.2135 | 0.1586 | | 0.1603 | 2.17 | 154 | 0.2125 | 0.1591 | | 0.2388 | 2.18 | 155 | 0.2040 | 0.1556 | | 0.2209 | 2.2 | 156 | 0.2038 | 0.1553 | ### Framework versions - Transformers 4.39.2 - Pytorch 2.2.1 - Datasets 2.18.0 - Tokenizers 0.15.1