generated_from_trainer

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wav2vec2-xls-r-300m-arabic_speech_commands_10s_one_speaker_5_classes_unknown

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.8 3 1.7933 0.2306
No log 1.8 6 1.7927 0.1667
No log 2.8 9 1.7908 0.1667
2.1874 3.8 12 1.7836 0.225
2.1874 4.8 15 1.7728 0.3083
2.1874 5.8 18 1.6857 0.3889
2.0742 6.8 21 1.4554 0.7333
2.0742 7.8 24 1.2621 0.6861
2.0742 8.8 27 1.0360 0.7528
1.5429 9.8 30 1.0220 0.6472
1.5429 10.8 33 0.7951 0.8278
1.5429 11.8 36 0.7954 0.8111
1.5429 12.8 39 0.6698 0.8167
0.927 13.8 42 0.8400 0.6694
0.927 14.8 45 0.7026 0.7194
0.927 15.8 48 0.7232 0.6944
0.429 16.8 51 0.6640 0.7333
0.429 17.8 54 1.1750 0.6
0.429 18.8 57 0.9270 0.6722
0.2583 19.8 60 1.4541 0.5417
0.2583 20.8 63 1.8917 0.4472
0.2583 21.8 66 1.3213 0.6472
0.2583 22.8 69 1.3114 0.7
0.1754 23.8 72 0.8079 0.7389
0.1754 24.8 75 1.6070 0.4861
0.1754 25.8 78 1.6949 0.5083
0.1348 26.8 81 1.4364 0.6472
0.1348 27.8 84 0.9045 0.7889
0.1348 28.8 87 1.1878 0.7111
0.0634 29.8 90 0.9678 0.7667
0.0634 30.8 93 0.9572 0.7889
0.0634 31.8 96 0.8931 0.8139
0.0634 32.8 99 1.4805 0.6583
0.1267 33.8 102 2.6092 0.4778
0.1267 34.8 105 2.2933 0.5306
0.1267 35.8 108 1.9648 0.6083
0.0261 36.8 111 1.8385 0.65
0.0261 37.8 114 2.0328 0.6028
0.0261 38.8 117 2.3722 0.55
0.041 39.8 120 2.7606 0.4917
0.041 40.8 123 2.5793 0.5056
0.041 41.8 126 2.0967 0.5917
0.041 42.8 129 1.7498 0.6611
0.1004 43.8 132 1.6564 0.6722
0.1004 44.8 135 1.7533 0.6583
0.1004 45.8 138 2.3335 0.5806
0.0688 46.8 141 2.9578 0.4778
0.0688 47.8 144 3.2396 0.4472
0.0688 48.8 147 3.2100 0.4528
0.0082 49.8 150 3.2018 0.4472
0.0082 50.8 153 3.1985 0.45
0.0082 51.8 156 2.6950 0.525
0.0082 52.8 159 2.2335 0.6056
0.0159 53.8 162 2.0467 0.6306
0.0159 54.8 165 1.8858 0.6583
0.0159 55.8 168 1.8239 0.6694
0.0083 56.8 171 1.7927 0.675
0.0083 57.8 174 1.7636 0.6861
0.0083 58.8 177 1.7792 0.675
0.0645 59.8 180 1.9165 0.6611
0.0645 60.8 183 2.0780 0.6361
0.0645 61.8 186 2.2058 0.6028
0.0645 62.8 189 2.3011 0.5944
0.01 63.8 192 2.4047 0.5722
0.01 64.8 195 2.4870 0.5639
0.01 65.8 198 2.5513 0.5417
0.008 66.8 201 2.5512 0.5333
0.008 67.8 204 2.3419 0.5778
0.008 68.8 207 2.2424 0.5944
0.0404 69.8 210 2.2009 0.6167
0.0404 70.8 213 2.1788 0.6278
0.0404 71.8 216 2.1633 0.6306
0.0404 72.8 219 2.1525 0.6306
0.0106 73.8 222 2.1435 0.6389
0.0106 74.8 225 2.1391 0.6389
0.0106 75.8 228 2.1327 0.6472
0.0076 76.8 231 2.1287 0.6444
0.0076 77.8 234 2.1267 0.65
0.0076 78.8 237 2.1195 0.6472
0.0097 79.8 240 2.1182 0.6417

Framework versions