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MuhammadIqbalBazmi
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wav2vec2-base-intent-classification-ori-f1

Audio Classification
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PyTorch
TensorBoard
wav2vec2
Generated from Trainer
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update model card README.md

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@@ -3,7 +3,7 @@ license: apache-2.0
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  tags:
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  - generated_from_trainer
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  metrics:
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- - f1
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  model-index:
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  - name: wav2vec2-base-intent-classification-ori-f1
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  results: []
@@ -16,8 +16,8 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5685
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- - F1: 0.8958
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  ## Model description
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@@ -49,53 +49,53 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 2.2057 | 1.0 | 28 | 2.1741 | 0.2708 |
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- | 2.1332 | 2.0 | 56 | 2.1334 | 0.2708 |
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- | 2.122 | 3.0 | 84 | 2.0869 | 0.2708 |
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- | 2.0509 | 4.0 | 112 | 2.0174 | 0.2708 |
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- | 2.0394 | 5.0 | 140 | 1.9004 | 0.3333 |
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- | 1.7832 | 6.0 | 168 | 2.0805 | 0.3125 |
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- | 2.087 | 7.0 | 196 | 1.9149 | 0.4375 |
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- | 1.81 | 8.0 | 224 | 1.8168 | 0.3542 |
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- | 1.3998 | 9.0 | 252 | 1.5107 | 0.4583 |
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- | 1.3034 | 10.0 | 280 | 1.4262 | 0.625 |
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- | 1.4097 | 11.0 | 308 | 1.4992 | 0.5625 |
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- | 1.4288 | 12.0 | 336 | 1.3383 | 0.5417 |
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- | 1.2235 | 13.0 | 364 | 1.1688 | 0.6667 |
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- | 0.9621 | 14.0 | 392 | 1.1620 | 0.6667 |
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- | 0.9897 | 15.0 | 420 | 1.0002 | 0.625 |
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- | 0.8813 | 16.0 | 448 | 1.0546 | 0.5833 |
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- | 0.6288 | 17.0 | 476 | 1.0090 | 0.6875 |
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- | 0.6873 | 18.0 | 504 | 1.0718 | 0.6458 |
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- | 0.6643 | 19.0 | 532 | 0.9802 | 0.6667 |
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- | 0.5304 | 20.0 | 560 | 0.7473 | 0.8125 |
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- | 0.4888 | 21.0 | 588 | 0.7275 | 0.8125 |
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- | 0.5838 | 22.0 | 616 | 0.5856 | 0.8333 |
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- | 0.4784 | 23.0 | 644 | 0.8373 | 0.7708 |
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- | 0.405 | 24.0 | 672 | 0.5685 | 0.8958 |
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- | 0.3156 | 25.0 | 700 | 0.5553 | 0.8125 |
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- | 0.2778 | 26.0 | 728 | 0.7169 | 0.8125 |
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- | 0.1745 | 27.0 | 756 | 0.7851 | 0.7708 |
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- | 0.1956 | 28.0 | 784 | 0.4647 | 0.8958 |
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- | 0.128 | 29.0 | 812 | 0.4830 | 0.8542 |
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- | 0.1066 | 30.0 | 840 | 0.5344 | 0.8333 |
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- | 0.0861 | 31.0 | 868 | 0.5539 | 0.8542 |
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- | 0.0729 | 32.0 | 896 | 0.5089 | 0.8542 |
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- | 0.0631 | 33.0 | 924 | 0.5500 | 0.8125 |
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- | 0.0489 | 34.0 | 952 | 0.5446 | 0.8125 |
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- | 0.0428 | 35.0 | 980 | 0.5993 | 0.8125 |
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- | 0.0434 | 36.0 | 1008 | 0.5692 | 0.8125 |
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- | 0.0418 | 37.0 | 1036 | 0.5246 | 0.8333 |
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- | 0.0379 | 38.0 | 1064 | 0.4636 | 0.8542 |
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- | 0.0358 | 39.0 | 1092 | 0.4692 | 0.8542 |
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- | 0.041 | 40.0 | 1120 | 0.4824 | 0.8542 |
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- | 0.0358 | 41.0 | 1148 | 0.4778 | 0.8542 |
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- | 0.037 | 42.0 | 1176 | 0.4998 | 0.8542 |
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- | 0.0378 | 43.0 | 1204 | 0.5027 | 0.8542 |
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- | 0.035 | 44.0 | 1232 | 0.4920 | 0.8542 |
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- | 0.0343 | 45.0 | 1260 | 0.4916 | 0.8542 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  metrics:
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+ - accuracy
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  model-index:
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  - name: wav2vec2-base-intent-classification-ori-f1
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  results: []
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7879
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+ - Accuracy: 0.8125
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.1936 | 1.0 | 28 | 2.1721 | 0.2708 |
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+ | 2.1251 | 2.0 | 56 | 2.1119 | 0.2708 |
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+ | 2.1113 | 3.0 | 84 | 2.0547 | 0.2708 |
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+ | 1.9978 | 4.0 | 112 | 2.0695 | 0.3125 |
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+ | 1.9134 | 5.0 | 140 | 1.7726 | 0.5 |
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+ | 1.6926 | 6.0 | 168 | 1.6564 | 0.4167 |
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+ | 1.7755 | 7.0 | 196 | 1.5987 | 0.4375 |
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+ | 1.5199 | 8.0 | 224 | 1.5848 | 0.3958 |
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+ | 1.2484 | 9.0 | 252 | 1.5180 | 0.5 |
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+ | 1.114 | 10.0 | 280 | 1.5078 | 0.4375 |
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+ | 1.281 | 11.0 | 308 | 1.3506 | 0.4792 |
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+ | 1.2449 | 12.0 | 336 | 1.2551 | 0.5208 |
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+ | 1.1664 | 13.0 | 364 | 1.6051 | 0.4792 |
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+ | 0.9792 | 14.0 | 392 | 1.2325 | 0.5417 |
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+ | 0.8464 | 15.0 | 420 | 1.1644 | 0.4583 |
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+ | 0.6899 | 16.0 | 448 | 1.0157 | 0.7083 |
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+ | 0.6696 | 17.0 | 476 | 1.1179 | 0.6042 |
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+ | 0.7003 | 18.0 | 504 | 1.0003 | 0.625 |
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+ | 0.5867 | 19.0 | 532 | 0.8064 | 0.7292 |
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+ | 0.539 | 20.0 | 560 | 0.8617 | 0.6875 |
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+ | 0.5039 | 21.0 | 588 | 1.0144 | 0.6458 |
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+ | 0.4377 | 22.0 | 616 | 0.8810 | 0.6458 |
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+ | 0.4507 | 23.0 | 644 | 0.8612 | 0.7292 |
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+ | 0.274 | 24.0 | 672 | 0.8041 | 0.7083 |
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+ | 0.3679 | 25.0 | 700 | 0.9090 | 0.6667 |
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+ | 0.2737 | 26.0 | 728 | 0.7768 | 0.75 |
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+ | 0.2019 | 27.0 | 756 | 0.7486 | 0.7708 |
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+ | 0.1841 | 28.0 | 784 | 0.9169 | 0.75 |
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+ | 0.1237 | 29.0 | 812 | 0.6935 | 0.7917 |
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+ | 0.1174 | 30.0 | 840 | 0.7879 | 0.8125 |
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+ | 0.1159 | 31.0 | 868 | 0.7981 | 0.7917 |
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+ | 0.0878 | 32.0 | 896 | 0.8157 | 0.7917 |
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+ | 0.0884 | 33.0 | 924 | 0.8122 | 0.7708 |
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+ | 0.0627 | 34.0 | 952 | 0.8276 | 0.7917 |
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+ | 0.0549 | 35.0 | 980 | 0.8650 | 0.7708 |
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+ | 0.0565 | 36.0 | 1008 | 0.8582 | 0.7708 |
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+ | 0.0533 | 37.0 | 1036 | 0.9108 | 0.7708 |
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+ | 0.0439 | 38.0 | 1064 | 0.9221 | 0.7708 |
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+ | 0.0435 | 39.0 | 1092 | 0.8844 | 0.7708 |
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+ | 0.0517 | 40.0 | 1120 | 0.8865 | 0.7708 |
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+ | 0.0411 | 41.0 | 1148 | 0.9118 | 0.7708 |
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+ | 0.045 | 42.0 | 1176 | 0.9109 | 0.7708 |
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+ | 0.0455 | 43.0 | 1204 | 0.9194 | 0.7708 |
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+ | 0.0435 | 44.0 | 1232 | 0.9221 | 0.7708 |
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+ | 0.0422 | 45.0 | 1260 | 0.9215 | 0.7708 |
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  ### Framework versions