testModel / README.md
Anders L|hr
Best 5 class model
0272046
metadata
base_model: anderloh/Huggingface-wav2vec-2Class-easy-train-test
tags:
  - audio-classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: wav2vec2-2Class-easy-train-test-large
    results: []

wav2vec2-2Class-easy-train-test-large

This model is a fine-tuned version of anderloh/Huggingface-wav2vec-2Class-easy-train-test on the anderloh/Master2ClassEasy dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1994
  • Accuracy: 0.9623

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: 3e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 0
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 800.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.98 11 0.7003 0.4088
No log 1.96 22 0.7001 0.4088
No log 2.93 33 0.6997 0.4151
No log 4.0 45 0.6991 0.4214
0.6976 4.98 56 0.6985 0.4277
0.6976 5.96 67 0.6977 0.4403
0.6976 6.93 78 0.6969 0.4465
0.6976 8.0 90 0.6957 0.4654
0.6952 8.98 101 0.6945 0.4654
0.6952 9.96 112 0.6934 0.4780
0.6952 10.93 123 0.6921 0.4906
0.6952 12.0 135 0.6906 0.5472
0.6952 12.98 146 0.6892 0.6101
0.6911 13.96 157 0.6878 0.6038
0.6911 14.93 168 0.6863 0.5912
0.6911 16.0 180 0.6847 0.5912
0.6911 16.98 191 0.6831 0.5849
0.6852 17.96 202 0.6815 0.5849
0.6852 18.93 213 0.6800 0.5849
0.6852 20.0 225 0.6782 0.5849
0.6852 20.98 236 0.6765 0.5849
0.6852 21.96 247 0.6750 0.5849
0.6783 22.93 258 0.6732 0.5849
0.6783 24.0 270 0.6713 0.5849
0.6783 24.98 281 0.6695 0.5849
0.6783 25.96 292 0.6674 0.5849
0.6676 26.93 303 0.6654 0.5849
0.6676 28.0 315 0.6631 0.5849
0.6676 28.98 326 0.6606 0.5849
0.6676 29.96 337 0.6579 0.5849
0.6676 30.93 348 0.6539 0.5849
0.6516 32.0 360 0.6493 0.5975
0.6516 32.98 371 0.6441 0.6101
0.6516 33.96 382 0.6349 0.6226
0.6516 34.93 393 0.6257 0.6289
0.6124 36.0 405 0.6117 0.6415
0.6124 36.98 416 0.5911 0.6667
0.6124 37.96 427 0.5672 0.6918
0.6124 38.93 438 0.5392 0.7233
0.5073 40.0 450 0.5042 0.7547
0.5073 40.98 461 0.4790 0.7673
0.5073 41.96 472 0.4759 0.7799
0.5073 42.93 483 0.4370 0.7987
0.5073 44.0 495 0.4352 0.7987
0.3489 44.98 506 0.4422 0.7987
0.3489 45.96 517 0.4154 0.8050
0.3489 46.93 528 0.4131 0.8050
0.3489 48.0 540 0.3976 0.8113
0.2962 48.98 551 0.3940 0.8113
0.2962 49.96 562 0.3715 0.8239
0.2962 50.93 573 0.3495 0.8428
0.2962 52.0 585 0.3481 0.8365
0.2962 52.98 596 0.3817 0.8176
0.2573 53.96 607 0.3412 0.8491
0.2573 54.93 618 0.3293 0.8491
0.2573 56.0 630 0.3548 0.8428
0.2573 56.98 641 0.3044 0.8428
0.2279 57.96 652 0.3235 0.8491
0.2279 58.93 663 0.3371 0.8491
0.2279 60.0 675 0.3128 0.8491
0.2279 60.98 686 0.3211 0.8553
0.2279 61.96 697 0.3030 0.8616
0.2167 62.93 708 0.2970 0.8616
0.2167 64.0 720 0.2995 0.8679
0.2167 64.98 731 0.2867 0.8742
0.2167 65.96 742 0.2636 0.8931
0.207 66.93 753 0.2848 0.8805
0.207 68.0 765 0.2751 0.8868
0.207 68.98 776 0.2564 0.8931
0.207 69.96 787 0.2544 0.8931
0.207 70.93 798 0.2954 0.8742
0.1899 72.0 810 0.2517 0.8931
0.1899 72.98 821 0.2506 0.8931
0.1899 73.96 832 0.2434 0.8931
0.1899 74.93 843 0.2383 0.8994
0.1801 76.0 855 0.2346 0.8994
0.1801 76.98 866 0.2298 0.8994
0.1801 77.96 877 0.2404 0.9057
0.1801 78.93 888 0.2674 0.8931
0.1692 80.0 900 0.2232 0.8994
0.1692 80.98 911 0.2390 0.8994
0.1692 81.96 922 0.2058 0.8931
0.1692 82.93 933 0.2114 0.9057
0.1692 84.0 945 0.2483 0.8994
0.1691 84.98 956 0.2259 0.9119
0.1691 85.96 967 0.2024 0.9119
0.1691 86.93 978 0.2019 0.8994
0.1691 88.0 990 0.1963 0.9245
0.1609 88.98 1001 0.2158 0.9119
0.1609 89.96 1012 0.1977 0.9119
0.1609 90.93 1023 0.1979 0.9182
0.1609 92.0 1035 0.2036 0.9119
0.1609 92.98 1046 0.1977 0.9245
0.1516 93.96 1057 0.1974 0.9182
0.1516 94.93 1068 0.1994 0.9245
0.1516 96.0 1080 0.1955 0.9119
0.1516 96.98 1091 0.1948 0.9119
0.1386 97.96 1102 0.1946 0.9245
0.1386 98.93 1113 0.1932 0.9245
0.1386 100.0 1125 0.1842 0.9371
0.1386 100.98 1136 0.1884 0.9308
0.1386 101.96 1147 0.1900 0.9371
0.1279 102.93 1158 0.1841 0.9308
0.1279 104.0 1170 0.1921 0.9245
0.1279 104.98 1181 0.1993 0.9245
0.1279 105.96 1192 0.1946 0.9308
0.1258 106.93 1203 0.1896 0.9308
0.1258 108.0 1215 0.1884 0.9308
0.1258 108.98 1226 0.1794 0.9434
0.1258 109.96 1237 0.1859 0.9245
0.1258 110.93 1248 0.2195 0.9119
0.1258 112.0 1260 0.2083 0.9182
0.1258 112.98 1271 0.2120 0.9245
0.1258 113.96 1282 0.2066 0.9308
0.1258 114.93 1293 0.1931 0.9308
0.1023 116.0 1305 0.1900 0.9308
0.1023 116.98 1316 0.2029 0.9308
0.1023 117.96 1327 0.1951 0.9245
0.1023 118.93 1338 0.2084 0.9119
0.0997 120.0 1350 0.2159 0.9245
0.0997 120.98 1361 0.2166 0.9245
0.0997 121.96 1372 0.1973 0.9308
0.0997 122.93 1383 0.1851 0.9245
0.0997 124.0 1395 0.2067 0.9245
0.1021 124.98 1406 0.1953 0.9245
0.1021 125.96 1417 0.1765 0.9434
0.1021 126.93 1428 0.1878 0.9308
0.1021 128.0 1440 0.2071 0.9245
0.0883 128.98 1451 0.2241 0.9182
0.0883 129.96 1462 0.2348 0.9119
0.0883 130.93 1473 0.2475 0.9057
0.0883 132.0 1485 0.2160 0.9182
0.0883 132.98 1496 0.2090 0.9308
0.0769 133.96 1507 0.2147 0.9245
0.0769 134.93 1518 0.2201 0.9245
0.0769 136.0 1530 0.2372 0.9182
0.0769 136.98 1541 0.2199 0.9182
0.0786 137.96 1552 0.2087 0.9182
0.0786 138.93 1563 0.1878 0.9308
0.0786 140.0 1575 0.1915 0.9371
0.0786 140.98 1586 0.2317 0.9245
0.0786 141.96 1597 0.2865 0.8931
0.0714 142.93 1608 0.2300 0.9245
0.0714 144.0 1620 0.2727 0.9057
0.0714 144.98 1631 0.2811 0.9057
0.0714 145.96 1642 0.2101 0.9371
0.0702 146.93 1653 0.2036 0.9308
0.0702 148.0 1665 0.2215 0.9371
0.0702 148.98 1676 0.2136 0.9182
0.0702 149.96 1687 0.2056 0.9434
0.0702 150.93 1698 0.2003 0.9371
0.0676 152.0 1710 0.2250 0.9308
0.0676 152.98 1721 0.1911 0.9560
0.0676 153.96 1732 0.2190 0.9245
0.0676 154.93 1743 0.1976 0.9308
0.0674 156.0 1755 0.1874 0.9497
0.0674 156.98 1766 0.2023 0.9371
0.0674 157.96 1777 0.2153 0.9497
0.0674 158.93 1788 0.2245 0.9434
0.0548 160.0 1800 0.2432 0.9245
0.0548 160.98 1811 0.2071 0.9434
0.0548 161.96 1822 0.1837 0.9497
0.0548 162.93 1833 0.1916 0.9497
0.0548 164.0 1845 0.2221 0.9497
0.0616 164.98 1856 0.2120 0.9497
0.0616 165.96 1867 0.1888 0.9560
0.0616 166.93 1878 0.1971 0.9497
0.0616 168.0 1890 0.2161 0.9434
0.0467 168.98 1901 0.2282 0.9371
0.0467 169.96 1912 0.3118 0.9057
0.0467 170.93 1923 0.2319 0.9497
0.0467 172.0 1935 0.2740 0.9308
0.0467 172.98 1946 0.2666 0.9308
0.0609 173.96 1957 0.2315 0.9434
0.0609 174.93 1968 0.2229 0.9371
0.0609 176.0 1980 0.2158 0.9434
0.0609 176.98 1991 0.2226 0.9434
0.0522 177.96 2002 0.2224 0.9308
0.0522 178.93 2013 0.2138 0.9434
0.0522 180.0 2025 0.2177 0.9371
0.0522 180.98 2036 0.1917 0.9434
0.0522 181.96 2047 0.1974 0.9560
0.0515 182.93 2058 0.2198 0.9497
0.0515 184.0 2070 0.2425 0.9245
0.0515 184.98 2081 0.2449 0.9308
0.0515 185.96 2092 0.2346 0.9308
0.045 186.93 2103 0.2331 0.9434
0.045 188.0 2115 0.2661 0.9371
0.045 188.98 2126 0.2291 0.9371
0.045 189.96 2137 0.2348 0.9371
0.045 190.93 2148 0.2309 0.9434
0.0403 192.0 2160 0.2789 0.9245
0.0403 192.98 2171 0.2540 0.9308
0.0403 193.96 2182 0.2372 0.9371
0.0403 194.93 2193 0.2508 0.9308
0.0476 196.0 2205 0.2194 0.9497
0.0476 196.98 2216 0.2307 0.9371
0.0476 197.96 2227 0.2719 0.9308
0.0476 198.93 2238 0.2804 0.9245
0.0457 200.0 2250 0.2755 0.9308
0.0457 200.98 2261 0.2353 0.9308
0.0457 201.96 2272 0.2189 0.9371
0.0457 202.93 2283 0.2163 0.9371
0.0457 204.0 2295 0.2110 0.9497
0.0393 204.98 2306 0.2316 0.9434
0.0393 205.96 2317 0.2465 0.9308
0.0393 206.93 2328 0.2376 0.9434
0.0393 208.0 2340 0.2171 0.9434
0.0443 208.98 2351 0.2395 0.9497
0.0443 209.96 2362 0.2906 0.8931
0.0443 210.93 2373 0.2608 0.9371
0.0443 212.0 2385 0.2321 0.9497
0.0443 212.98 2396 0.2464 0.9371
0.0539 213.96 2407 0.2442 0.9182
0.0539 214.93 2418 0.2512 0.9245
0.0539 216.0 2430 0.2265 0.9371
0.0539 216.98 2441 0.2127 0.9371
0.0415 217.96 2452 0.2844 0.9371
0.0415 218.93 2463 0.2489 0.9434
0.0415 220.0 2475 0.2120 0.9497
0.0415 220.98 2486 0.2015 0.9560
0.0415 221.96 2497 0.2510 0.9245
0.0325 222.93 2508 0.2875 0.9371
0.0325 224.0 2520 0.1994 0.9623
0.0325 224.98 2531 0.2033 0.9623
0.0325 225.96 2542 0.2391 0.9497
0.0249 226.93 2553 0.3044 0.9182
0.0249 228.0 2565 0.2825 0.9371
0.0249 228.98 2576 0.2347 0.9497
0.0249 229.96 2587 0.2405 0.9497
0.0249 230.93 2598 0.2537 0.9497
0.0358 232.0 2610 0.2709 0.9371
0.0358 232.98 2621 0.2445 0.9497
0.0358 233.96 2632 0.2436 0.9371
0.0358 234.93 2643 0.2227 0.9434
0.0345 236.0 2655 0.2208 0.9497
0.0345 236.98 2666 0.2293 0.9434
0.0345 237.96 2677 0.2160 0.9497
0.0345 238.93 2688 0.2086 0.9434
0.0339 240.0 2700 0.2640 0.9182
0.0339 240.98 2711 0.2954 0.9371
0.0339 241.96 2722 0.2507 0.9434
0.0339 242.93 2733 0.2273 0.9434
0.0339 244.0 2745 0.2422 0.9371
0.0309 244.98 2756 0.2931 0.9371
0.0309 245.96 2767 0.2695 0.9371
0.0309 246.93 2778 0.2646 0.9434
0.0309 248.0 2790 0.2315 0.9434
0.0301 248.98 2801 0.2270 0.9434
0.0301 249.96 2812 0.2447 0.9434
0.0301 250.93 2823 0.2586 0.9371
0.0301 252.0 2835 0.3039 0.9245
0.0301 252.98 2846 0.2777 0.9182
0.0335 253.96 2857 0.2566 0.9371
0.0335 254.93 2868 0.2603 0.9308
0.0335 256.0 2880 0.2699 0.9371
0.0335 256.98 2891 0.2838 0.9371
0.0249 257.96 2902 0.2573 0.9371
0.0249 258.93 2913 0.2652 0.9371
0.0249 260.0 2925 0.2622 0.9434
0.0249 260.98 2936 0.2583 0.9371
0.0249 261.96 2947 0.2324 0.9497
0.0308 262.93 2958 0.2782 0.9371
0.0308 264.0 2970 0.2519 0.9434
0.0308 264.98 2981 0.2634 0.9371
0.0308 265.96 2992 0.2647 0.9434
0.0282 266.93 3003 0.2588 0.9434
0.0282 268.0 3015 0.2315 0.9371
0.0282 268.98 3026 0.2293 0.9371
0.0282 269.96 3037 0.2375 0.9371
0.0282 270.93 3048 0.2439 0.9371
0.0347 272.0 3060 0.2542 0.9434
0.0347 272.98 3071 0.2402 0.9371
0.0347 273.96 3082 0.2365 0.9371
0.0347 274.93 3093 0.2757 0.9371
0.0211 276.0 3105 0.2508 0.9308
0.0211 276.98 3116 0.2395 0.9497
0.0211 277.96 3127 0.2536 0.9371
0.0211 278.93 3138 0.2685 0.9245
0.0248 280.0 3150 0.2975 0.9182
0.0248 280.98 3161 0.3234 0.9182
0.0248 281.96 3172 0.2707 0.9434
0.0248 282.93 3183 0.2250 0.9560
0.0248 284.0 3195 0.2319 0.9560
0.0243 284.98 3206 0.2525 0.9434
0.0243 285.96 3217 0.2661 0.9434
0.0243 286.93 3228 0.2844 0.9245
0.0243 288.0 3240 0.2571 0.9434
0.0223 288.98 3251 0.2517 0.9434
0.0223 289.96 3262 0.2636 0.9308
0.0223 290.93 3273 0.2694 0.9245
0.0223 292.0 3285 0.2306 0.9497
0.0223 292.98 3296 0.2377 0.9434
0.0234 293.96 3307 0.2698 0.9434
0.0234 294.93 3318 0.2839 0.9371
0.0234 296.0 3330 0.2502 0.9497
0.0234 296.98 3341 0.2704 0.9434
0.0256 297.96 3352 0.2879 0.9308
0.0256 298.93 3363 0.3078 0.9308
0.0256 300.0 3375 0.3160 0.9308
0.0256 300.98 3386 0.2706 0.9371
0.0256 301.96 3397 0.2504 0.9497
0.0224 302.93 3408 0.2454 0.9560
0.0224 304.0 3420 0.2480 0.9560
0.0224 304.98 3431 0.2511 0.9497
0.0224 305.96 3442 0.2796 0.9434
0.0155 306.93 3453 0.2932 0.9371
0.0155 308.0 3465 0.2997 0.9245
0.0155 308.98 3476 0.3044 0.9245
0.0155 309.96 3487 0.3256 0.9308
0.0155 310.93 3498 0.3401 0.9371
0.0226 312.0 3510 0.3068 0.9182
0.0226 312.98 3521 0.3017 0.9182
0.0226 313.96 3532 0.2941 0.9119
0.0226 314.93 3543 0.2840 0.9308
0.0153 316.0 3555 0.2900 0.9245
0.0153 316.98 3566 0.2923 0.9308
0.0153 317.96 3577 0.2965 0.9308
0.0153 318.93 3588 0.3202 0.9371
0.0183 320.0 3600 0.3325 0.9119
0.0183 320.98 3611 0.3441 0.9182
0.0183 321.96 3622 0.3004 0.9308
0.0183 322.93 3633 0.3022 0.9434
0.0183 324.0 3645 0.2958 0.9308
0.0257 324.98 3656 0.2943 0.9371
0.0257 325.96 3667 0.2945 0.9308
0.0257 326.93 3678 0.2910 0.9245
0.0257 328.0 3690 0.2856 0.9245
0.0164 328.98 3701 0.2580 0.9434
0.0164 329.96 3712 0.2566 0.9371
0.0164 330.93 3723 0.2538 0.9371
0.0164 332.0 3735 0.2448 0.9497
0.0164 332.98 3746 0.2544 0.9497
0.0222 333.96 3757 0.3075 0.9245
0.0222 334.93 3768 0.2757 0.9245
0.0222 336.0 3780 0.2715 0.9371
0.0222 336.98 3791 0.3330 0.9308
0.0212 337.96 3802 0.3560 0.9371
0.0212 338.93 3813 0.2832 0.9371
0.0212 340.0 3825 0.2855 0.9308
0.0212 340.98 3836 0.3063 0.9308
0.0212 341.96 3847 0.2915 0.9308
0.016 342.93 3858 0.2836 0.9434
0.016 344.0 3870 0.2805 0.9371
0.016 344.98 3881 0.2678 0.9497
0.016 345.96 3892 0.2840 0.9371
0.0163 346.93 3903 0.3048 0.9308
0.0163 348.0 3915 0.2761 0.9434
0.0163 348.98 3926 0.3045 0.9371
0.0163 349.96 3937 0.2673 0.9371
0.0163 350.93 3948 0.2830 0.9308
0.0185 352.0 3960 0.3150 0.9308
0.0185 352.98 3971 0.2967 0.9308
0.0185 353.96 3982 0.2918 0.9308
0.0185 354.93 3993 0.2849 0.9371
0.0189 356.0 4005 0.2804 0.9371
0.0189 356.98 4016 0.2909 0.9371
0.0189 357.96 4027 0.3030 0.9308
0.0189 358.93 4038 0.3163 0.9308
0.0153 360.0 4050 0.3217 0.9245
0.0153 360.98 4061 0.3025 0.9434
0.0153 361.96 4072 0.2974 0.9371
0.0153 362.93 4083 0.2866 0.9497
0.0153 364.0 4095 0.3246 0.9308
0.0169 364.98 4106 0.2801 0.9434
0.0169 365.96 4117 0.3133 0.9371
0.0169 366.93 4128 0.3284 0.9245
0.0169 368.0 4140 0.2717 0.9371
0.0207 368.98 4151 0.2692 0.9497
0.0207 369.96 4162 0.2674 0.9434
0.0207 370.93 4173 0.2643 0.9371
0.0207 372.0 4185 0.2970 0.9434
0.0207 372.98 4196 0.2688 0.9434
0.0213 373.96 4207 0.2765 0.9371
0.0213 374.93 4218 0.2870 0.9371
0.0213 376.0 4230 0.3006 0.9371
0.0213 376.98 4241 0.2944 0.9434
0.02 377.96 4252 0.3020 0.9371
0.02 378.93 4263 0.3074 0.9371
0.02 380.0 4275 0.2943 0.9434
0.02 380.98 4286 0.2825 0.9497
0.02 381.96 4297 0.2761 0.9434
0.0143 382.93 4308 0.2920 0.9434
0.0143 384.0 4320 0.2952 0.9434
0.0143 384.98 4331 0.3165 0.9497
0.0143 385.96 4342 0.2803 0.9371
0.0196 386.93 4353 0.2876 0.9371
0.0196 388.0 4365 0.2759 0.9434
0.0196 388.98 4376 0.2701 0.9434
0.0196 389.96 4387 0.2951 0.9434
0.0196 390.93 4398 0.2950 0.9371
0.0234 392.0 4410 0.2960 0.9371
0.0234 392.98 4421 0.3337 0.9308
0.0234 393.96 4432 0.3383 0.9308
0.0234 394.93 4443 0.3078 0.9371
0.0161 396.0 4455 0.3139 0.9371
0.0161 396.98 4466 0.3188 0.9308
0.0161 397.96 4477 0.3307 0.9308
0.0161 398.93 4488 0.3163 0.9308
0.0162 400.0 4500 0.3018 0.9434
0.0162 400.98 4511 0.2813 0.9371
0.0162 401.96 4522 0.3019 0.9371
0.0162 402.93 4533 0.2810 0.9434
0.0162 404.0 4545 0.2746 0.9371
0.023 404.98 4556 0.2851 0.9371
0.023 405.96 4567 0.3158 0.9245
0.023 406.93 4578 0.3467 0.9119
0.023 408.0 4590 0.3496 0.9182
0.0164 408.98 4601 0.3324 0.9245
0.0164 409.96 4612 0.3246 0.9371
0.0164 410.93 4623 0.3765 0.9308
0.0164 412.0 4635 0.3543 0.9245
0.0164 412.98 4646 0.3280 0.9245
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Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2