--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-base-960h tags: - generated_from_trainer metrics: - accuracy model-index: - name: wav2vec2-base-960h-EMOPIA-10sec-full-100epoc results: [] --- # wav2vec2-base-960h-EMOPIA-10sec-full-100epoc This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.5358 - Accuracy: 0.8737 ## 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-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 100 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:------:|:---------------:|:--------:| | 1.2276 | 1.0 | 2248 | 1.3142 | 0.5730 | | 1.4493 | 2.0 | 4496 | 1.5339 | 0.5907 | | 1.4328 | 3.0 | 6744 | 1.5229 | 0.6584 | | 1.3839 | 4.0 | 8992 | 1.3336 | 0.6922 | | 1.4591 | 5.0 | 11240 | 1.4407 | 0.6762 | | 1.3609 | 6.0 | 13488 | 1.1341 | 0.7117 | | 1.222 | 7.0 | 15736 | 1.5204 | 0.7028 | | 1.1713 | 8.0 | 17984 | 1.3222 | 0.7473 | | 1.1414 | 9.0 | 20232 | 1.3233 | 0.7562 | | 1.0977 | 10.0 | 22480 | 1.3587 | 0.7384 | | 0.9768 | 11.0 | 24728 | 1.3482 | 0.7633 | | 0.9219 | 12.0 | 26976 | 1.3743 | 0.7580 | | 0.8636 | 13.0 | 29224 | 1.1195 | 0.8167 | | 0.8543 | 14.0 | 31472 | 1.1716 | 0.8043 | | 0.8053 | 15.0 | 33720 | 1.2033 | 0.8114 | | 0.7718 | 16.0 | 35968 | 1.2491 | 0.7989 | | 0.6904 | 17.0 | 38216 | 1.0851 | 0.8363 | | 0.6545 | 18.0 | 40464 | 1.2963 | 0.8007 | | 0.6858 | 19.0 | 42712 | 1.3231 | 0.8078 | | 0.6444 | 20.0 | 44960 | 1.1918 | 0.8238 | | 0.6166 | 21.0 | 47208 | 1.1358 | 0.8345 | | 0.5437 | 22.0 | 49456 | 1.2446 | 0.8256 | | 0.4719 | 23.0 | 51704 | 1.4120 | 0.8149 | | 0.4802 | 24.0 | 53952 | 1.2611 | 0.8203 | | 0.484 | 25.0 | 56200 | 1.2840 | 0.8363 | | 0.3649 | 26.0 | 58448 | 1.2421 | 0.8434 | | 0.4146 | 27.0 | 60696 | 1.3465 | 0.8292 | | 0.3998 | 28.0 | 62944 | 1.2309 | 0.8505 | | 0.4113 | 29.0 | 65192 | 1.1663 | 0.8523 | | 0.3385 | 30.0 | 67440 | 1.2567 | 0.8470 | | 0.3188 | 31.0 | 69688 | 1.2581 | 0.8434 | | 0.3203 | 32.0 | 71936 | 1.2454 | 0.8541 | | 0.2766 | 33.0 | 74184 | 1.2542 | 0.8523 | | 0.2505 | 34.0 | 76432 | 1.5897 | 0.8149 | | 0.2777 | 35.0 | 78680 | 1.3483 | 0.8363 | | 0.2816 | 36.0 | 80928 | 1.2510 | 0.8523 | | 0.2728 | 37.0 | 83176 | 1.4422 | 0.8327 | | 0.255 | 38.0 | 85424 | 1.2928 | 0.8488 | | 0.2172 | 39.0 | 87672 | 1.4022 | 0.8452 | | 0.2204 | 40.0 | 89920 | 1.4114 | 0.8381 | | 0.2232 | 41.0 | 92168 | 1.4324 | 0.8416 | | 0.2301 | 42.0 | 94416 | 1.3528 | 0.8488 | | 0.1751 | 43.0 | 96664 | 1.4649 | 0.8434 | | 0.1982 | 44.0 | 98912 | 1.2216 | 0.8754 | | 0.1803 | 45.0 | 101160 | 1.4569 | 0.8452 | | 0.1582 | 46.0 | 103408 | 1.3650 | 0.8665 | | 0.1837 | 47.0 | 105656 | 1.2877 | 0.8541 | | 0.1458 | 48.0 | 107904 | 1.7389 | 0.8310 | | 0.1664 | 49.0 | 110152 | 1.4001 | 0.8541 | | 0.1473 | 50.0 | 112400 | 1.2979 | 0.8701 | | 0.1341 | 51.0 | 114648 | 1.5705 | 0.8470 | | 0.1603 | 52.0 | 116896 | 1.6043 | 0.8381 | | 0.1133 | 53.0 | 119144 | 1.6194 | 0.8452 | | 0.107 | 54.0 | 121392 | 1.4173 | 0.8630 | | 0.116 | 55.0 | 123640 | 1.5268 | 0.8541 | | 0.0988 | 56.0 | 125888 | 1.6092 | 0.8523 | | 0.139 | 57.0 | 128136 | 1.4312 | 0.8648 | | 0.0798 | 58.0 | 130384 | 1.7888 | 0.8327 | | 0.0776 | 59.0 | 132632 | 1.5457 | 0.8665 | | 0.1288 | 60.0 | 134880 | 1.4554 | 0.8630 | | 0.0828 | 61.0 | 137128 | 1.7078 | 0.8559 | | 0.0823 | 62.0 | 139376 | 1.4734 | 0.8754 | | 0.0803 | 63.0 | 141624 | 1.6007 | 0.8594 | | 0.0947 | 64.0 | 143872 | 1.4467 | 0.8701 | | 0.0916 | 65.0 | 146120 | 1.4410 | 0.8737 | | 0.0814 | 66.0 | 148368 | 1.7116 | 0.8470 | | 0.0938 | 67.0 | 150616 | 1.5838 | 0.8630 | | 0.066 | 68.0 | 152864 | 1.6458 | 0.8559 | | 0.096 | 69.0 | 155112 | 1.6926 | 0.8559 | | 0.0638 | 70.0 | 157360 | 1.5233 | 0.8630 | | 0.063 | 71.0 | 159608 | 1.5641 | 0.8594 | | 0.0758 | 72.0 | 161856 | 1.6767 | 0.8505 | | 0.0579 | 73.0 | 164104 | 1.5338 | 0.8630 | | 0.0379 | 74.0 | 166352 | 1.6348 | 0.8630 | | 0.0351 | 75.0 | 168600 | 1.7037 | 0.8559 | | 0.0472 | 76.0 | 170848 | 1.5682 | 0.8754 | | 0.0253 | 77.0 | 173096 | 1.7067 | 0.8559 | | 0.073 | 78.0 | 175344 | 1.4460 | 0.8754 | | 0.049 | 79.0 | 177592 | 1.5897 | 0.8594 | | 0.0503 | 80.0 | 179840 | 1.6017 | 0.8648 | | 0.0497 | 81.0 | 182088 | 1.5319 | 0.8683 | | 0.0553 | 82.0 | 184336 | 1.5479 | 0.8612 | | 0.0416 | 83.0 | 186584 | 1.5556 | 0.8577 | | 0.0641 | 84.0 | 188832 | 1.5675 | 0.8594 | | 0.0425 | 85.0 | 191080 | 1.6854 | 0.8559 | | 0.0311 | 86.0 | 193328 | 1.4628 | 0.8737 | | 0.0456 | 87.0 | 195576 | 1.5069 | 0.8701 | | 0.0224 | 88.0 | 197824 | 1.6130 | 0.8665 | | 0.0345 | 89.0 | 200072 | 1.5750 | 0.8701 | | 0.041 | 90.0 | 202320 | 1.5230 | 0.8719 | | 0.0165 | 91.0 | 204568 | 1.6564 | 0.8594 | | 0.0478 | 92.0 | 206816 | 1.5940 | 0.8630 | | 0.032 | 93.0 | 209064 | 1.4741 | 0.8808 | | 0.0433 | 94.0 | 211312 | 1.5333 | 0.8719 | | 0.0243 | 95.0 | 213560 | 1.5165 | 0.8719 | | 0.0165 | 96.0 | 215808 | 1.5775 | 0.8683 | | 0.0177 | 97.0 | 218056 | 1.5302 | 0.8772 | | 0.0253 | 98.0 | 220304 | 1.5424 | 0.8754 | | 0.0224 | 99.0 | 222552 | 1.5462 | 0.8719 | | 0.0213 | 100.0 | 224800 | 1.5358 | 0.8737 | ### Framework versions - Transformers 4.45.2 - Pytorch 2.4.1+cu118 - Datasets 3.0.1 - Tokenizers 0.20.0