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dmusingu
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muk-luganda-digits-classification

Audio Classification
Transformers
Safetensors
wav2vec2
Generated from Trainer
Model card Files
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dmusingu commited on
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End of training

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  1. README.md +53 -53
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +2 -2
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.5449
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- - Accuracy: 0.4074
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  ## Model description
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@@ -51,61 +51,61 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.3049 | 1.0 | 54 | 2.3001 | 0.1481 |
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- | 2.3005 | 2.0 | 108 | 2.2915 | 0.1481 |
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- | 2.2891 | 3.0 | 162 | 2.3343 | 0.0370 |
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- | 2.2854 | 4.0 | 216 | 2.3094 | 0.1481 |
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- | 2.2712 | 5.0 | 270 | 2.2933 | 0.1111 |
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- | 2.2165 | 6.0 | 324 | 2.2550 | 0.2222 |
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- | 2.1481 | 7.0 | 378 | 2.2200 | 0.2222 |
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- | 2.0545 | 8.0 | 432 | 2.1018 | 0.2593 |
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- | 1.9068 | 9.0 | 486 | 2.0617 | 0.2963 |
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- | 1.7759 | 10.0 | 540 | 2.1664 | 0.2593 |
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- | 1.6251 | 11.0 | 594 | 2.0445 | 0.2222 |
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- | 1.5145 | 12.0 | 648 | 1.9165 | 0.3333 |
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- | 1.4075 | 13.0 | 702 | 2.0330 | 0.3704 |
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- | 1.2961 | 14.0 | 756 | 1.9470 | 0.2963 |
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- | 1.1658 | 15.0 | 810 | 2.0028 | 0.3704 |
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- | 1.0908 | 16.0 | 864 | 1.8138 | 0.4444 |
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- | 0.9521 | 17.0 | 918 | 1.7541 | 0.4815 |
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- | 0.9248 | 18.0 | 972 | 1.8824 | 0.3704 |
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- | 0.7958 | 19.0 | 1026 | 2.0027 | 0.3704 |
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- | 0.7779 | 20.0 | 1080 | 1.8436 | 0.4074 |
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- | 0.5893 | 21.0 | 1134 | 2.0125 | 0.3704 |
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- | 0.562 | 22.0 | 1188 | 2.0260 | 0.3704 |
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- | 0.4615 | 23.0 | 1242 | 2.0379 | 0.4074 |
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- | 0.4278 | 24.0 | 1296 | 2.3882 | 0.4074 |
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- | 0.3636 | 25.0 | 1350 | 2.6060 | 0.2963 |
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- | 0.3296 | 26.0 | 1404 | 2.4405 | 0.4444 |
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- | 0.3482 | 27.0 | 1458 | 2.5822 | 0.3704 |
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- | 0.2662 | 28.0 | 1512 | 2.6888 | 0.3704 |
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- | 0.3329 | 29.0 | 1566 | 3.1140 | 0.2963 |
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- | 0.2645 | 30.0 | 1620 | 3.2849 | 0.2963 |
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- | 0.2165 | 31.0 | 1674 | 3.1829 | 0.3704 |
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- | 0.2171 | 32.0 | 1728 | 3.0587 | 0.3704 |
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- | 0.2514 | 33.0 | 1782 | 3.2568 | 0.3704 |
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- | 0.2567 | 34.0 | 1836 | 3.3578 | 0.3704 |
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- | 0.1854 | 35.0 | 1890 | 3.6047 | 0.3333 |
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- | 0.185 | 36.0 | 1944 | 3.6464 | 0.3704 |
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- | 0.201 | 37.0 | 1998 | 3.6722 | 0.3704 |
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- | 0.1585 | 38.0 | 2052 | 3.6374 | 0.3333 |
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- | 0.2236 | 39.0 | 2106 | 3.6314 | 0.3333 |
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- | 0.2301 | 40.0 | 2160 | 3.4098 | 0.4074 |
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- | 0.1859 | 41.0 | 2214 | 3.4478 | 0.4074 |
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- | 0.2495 | 42.0 | 2268 | 3.4725 | 0.3704 |
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- | 0.184 | 43.0 | 2322 | 3.5353 | 0.3704 |
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- | 0.2292 | 44.0 | 2376 | 3.5383 | 0.4074 |
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- | 0.1335 | 45.0 | 2430 | 3.5161 | 0.4074 |
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- | 0.174 | 46.0 | 2484 | 3.5052 | 0.4074 |
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- | 0.1404 | 47.0 | 2538 | 3.5248 | 0.4074 |
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- | 0.159 | 48.0 | 2592 | 3.5334 | 0.4074 |
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- | 0.1914 | 49.0 | 2646 | 3.5406 | 0.4074 |
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- | 0.1816 | 50.0 | 2700 | 3.5449 | 0.4074 |
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  ### Framework versions
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- - Transformers 4.56.2
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  - Pytorch 2.8.0+cu128
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  - Datasets 3.6.0
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  - Tokenizers 0.22.1
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.4304
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+ - Accuracy: 0.4667
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.3048 | 1.0 | 60 | 2.2910 | 0.2333 |
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+ | 2.2968 | 2.0 | 120 | 2.2885 | 0.2333 |
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+ | 2.2833 | 3.0 | 180 | 2.2984 | 0.2 |
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+ | 2.2628 | 4.0 | 240 | 2.2951 | 0.1667 |
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+ | 2.2277 | 5.0 | 300 | 2.3184 | 0.1667 |
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+ | 2.1637 | 6.0 | 360 | 2.2936 | 0.1333 |
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+ | 2.0973 | 7.0 | 420 | 2.2544 | 0.1667 |
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+ | 1.9912 | 8.0 | 480 | 2.1642 | 0.2333 |
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+ | 1.8592 | 9.0 | 540 | 2.1926 | 0.3333 |
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+ | 1.7143 | 10.0 | 600 | 2.1636 | 0.3667 |
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+ | 1.6433 | 11.0 | 660 | 2.1392 | 0.3667 |
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+ | 1.4799 | 12.0 | 720 | 2.1999 | 0.3667 |
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+ | 1.3969 | 13.0 | 780 | 1.9897 | 0.3667 |
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+ | 1.2879 | 14.0 | 840 | 2.1673 | 0.4667 |
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+ | 1.2874 | 15.0 | 900 | 1.8996 | 0.4333 |
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+ | 1.0745 | 16.0 | 960 | 2.0203 | 0.4 |
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+ | 0.9496 | 17.0 | 1020 | 2.2862 | 0.3667 |
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+ | 0.8605 | 18.0 | 1080 | 2.0454 | 0.5 |
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+ | 0.7169 | 19.0 | 1140 | 2.0636 | 0.4 |
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+ | 0.6536 | 20.0 | 1200 | 2.3490 | 0.4 |
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+ | 0.6232 | 21.0 | 1260 | 2.3292 | 0.4 |
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+ | 0.5155 | 22.0 | 1320 | 2.3583 | 0.4 |
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+ | 0.4213 | 23.0 | 1380 | 2.2706 | 0.4667 |
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+ | 0.5417 | 24.0 | 1440 | 2.1699 | 0.5 |
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+ | 0.427 | 25.0 | 1500 | 2.6660 | 0.4333 |
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+ | 0.4919 | 26.0 | 1560 | 2.6427 | 0.4667 |
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+ | 0.3176 | 27.0 | 1620 | 2.7346 | 0.4333 |
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+ | 0.3232 | 28.0 | 1680 | 2.6299 | 0.5 |
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+ | 0.2715 | 29.0 | 1740 | 2.6801 | 0.5 |
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+ | 0.1921 | 30.0 | 1800 | 3.1908 | 0.4 |
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+ | 0.2325 | 31.0 | 1860 | 3.3189 | 0.4 |
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+ | 0.345 | 32.0 | 1920 | 2.8053 | 0.4667 |
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+ | 0.1883 | 33.0 | 1980 | 3.1182 | 0.4667 |
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+ | 0.2894 | 34.0 | 2040 | 3.4994 | 0.4333 |
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+ | 0.2821 | 35.0 | 2100 | 3.1150 | 0.4667 |
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+ | 0.2291 | 36.0 | 2160 | 2.9860 | 0.5 |
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+ | 0.2131 | 37.0 | 2220 | 3.2128 | 0.4667 |
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+ | 0.1971 | 38.0 | 2280 | 3.3228 | 0.4667 |
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+ | 0.2987 | 39.0 | 2340 | 3.4010 | 0.4667 |
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+ | 0.1688 | 40.0 | 2400 | 3.2529 | 0.4667 |
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+ | 0.219 | 41.0 | 2460 | 3.1388 | 0.4667 |
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+ | 0.137 | 42.0 | 2520 | 3.1523 | 0.5 |
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+ | 0.179 | 43.0 | 2580 | 3.3119 | 0.4667 |
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+ | 0.1648 | 44.0 | 2640 | 3.3644 | 0.4667 |
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+ | 0.1964 | 45.0 | 2700 | 3.4351 | 0.4667 |
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+ | 0.1602 | 46.0 | 2760 | 3.5707 | 0.4667 |
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+ | 0.1479 | 47.0 | 2820 | 3.5323 | 0.4667 |
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+ | 0.2026 | 48.0 | 2880 | 3.5060 | 0.4667 |
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+ | 0.1777 | 49.0 | 2940 | 3.4347 | 0.4667 |
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+ | 0.1391 | 50.0 | 3000 | 3.4304 | 0.4667 |
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  ### Framework versions
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+ - Transformers 4.57.0
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  - Pytorch 2.8.0+cu128
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  - Datasets 3.6.0
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  - Tokenizers 0.22.1
config.json CHANGED
@@ -134,7 +134,7 @@
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  1,
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  ],
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- "transformers_version": "4.56.2",
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  "use_weighted_layer_sum": false,
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  "vocab_size": 32,
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  "xvector_output_dim": 512
 
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  1,
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  1
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  ],
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+ "transformers_version": "4.57.0",
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  "use_weighted_layer_sum": false,
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  "vocab_size": 32,
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  "xvector_output_dim": 512
model.safetensors CHANGED
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