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wav2vec2-large-xlsr-53-english-finetuned-ravdess-v7

Audio Classification
Transformers
PyTorch
wav2vec2
Generated from Trainer
Inference Endpoints
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  1. README.md +34 -34
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2583
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- - Accuracy: 0.6597
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  ## Model description
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@@ -52,38 +52,38 @@ 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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- | 0.9468 | 0.15 | 25 | 1.0477 | 0.5833 |
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- | 0.9825 | 0.31 | 50 | 1.0943 | 0.5556 |
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- | 0.83 | 0.46 | 75 | 1.0094 | 0.6389 |
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- | 0.9219 | 0.62 | 100 | 1.1035 | 0.5833 |
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- | 0.9044 | 0.77 | 125 | 1.2343 | 0.5833 |
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- | 0.9362 | 0.93 | 150 | 1.2651 | 0.5972 |
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- | 0.8799 | 1.08 | 175 | 1.2690 | 0.5486 |
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- | 0.8219 | 1.23 | 200 | 1.1401 | 0.5764 |
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- | 0.7739 | 1.39 | 225 | 1.2107 | 0.5417 |
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- | 0.87 | 1.54 | 250 | 1.1299 | 0.6319 |
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- | 0.6298 | 1.7 | 275 | 0.9628 | 0.6736 |
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- | 0.5578 | 1.85 | 300 | 1.5402 | 0.5417 |
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- | 0.7363 | 2.01 | 325 | 1.0680 | 0.6667 |
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- | 0.5354 | 2.16 | 350 | 0.9104 | 0.6736 |
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- | 0.4246 | 2.31 | 375 | 0.9475 | 0.6667 |
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- | 0.479 | 2.47 | 400 | 1.2755 | 0.6597 |
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- | 0.5133 | 2.62 | 425 | 0.8993 | 0.7083 |
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- | 0.3661 | 2.78 | 450 | 1.0620 | 0.6667 |
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- | 0.3664 | 2.93 | 475 | 1.0617 | 0.6875 |
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- | 0.4177 | 3.09 | 500 | 1.2583 | 0.6597 |
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- | 0.4462 | 3.24 | 525 | 0.9819 | 0.7361 |
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- | 0.3419 | 3.4 | 550 | 1.2685 | 0.6667 |
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- | 0.5142 | 3.55 | 575 | 0.9290 | 0.75 |
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- | 0.2887 | 3.7 | 600 | 1.0275 | 0.7153 |
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- | 0.2485 | 3.86 | 625 | 0.7754 | 0.7778 |
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- | 0.3065 | 4.01 | 650 | 1.0046 | 0.7431 |
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- | 0.1812 | 4.17 | 675 | 0.9867 | 0.7361 |
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- | 0.1541 | 4.32 | 700 | 1.1906 | 0.6875 |
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- | 0.2993 | 4.48 | 725 | 0.9916 | 0.75 |
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- | 0.2149 | 4.63 | 750 | 1.0387 | 0.7222 |
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- | 0.1114 | 4.78 | 775 | 0.9461 | 0.7292 |
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- | 0.1897 | 4.94 | 800 | 0.9165 | 0.75 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8320
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+ - Accuracy: 0.7986
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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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+ | 0.2518 | 0.15 | 25 | 1.0813 | 0.7222 |
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+ | 0.4377 | 0.31 | 50 | 1.3678 | 0.6389 |
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+ | 0.471 | 0.46 | 75 | 1.2841 | 0.6458 |
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+ | 0.6906 | 0.62 | 100 | 1.0845 | 0.6736 |
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+ | 0.8409 | 0.77 | 125 | 0.9987 | 0.7222 |
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+ | 0.5912 | 0.93 | 150 | 0.9029 | 0.7292 |
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+ | 0.6029 | 1.08 | 175 | 1.0862 | 0.6597 |
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+ | 0.4525 | 1.23 | 200 | 1.0455 | 0.6806 |
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+ | 0.4263 | 1.39 | 225 | 1.4209 | 0.6389 |
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+ | 0.4866 | 1.54 | 250 | 1.0648 | 0.7222 |
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+ | 0.3619 | 1.7 | 275 | 0.9949 | 0.7083 |
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+ | 0.7256 | 1.85 | 300 | 1.1846 | 0.6875 |
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+ | 0.3964 | 2.01 | 325 | 0.9130 | 0.7222 |
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+ | 0.2853 | 2.16 | 350 | 1.0839 | 0.7292 |
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+ | 0.3022 | 2.31 | 375 | 0.7729 | 0.7847 |
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+ | 0.3631 | 2.47 | 400 | 1.2372 | 0.7153 |
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+ | 0.3029 | 2.62 | 425 | 0.9880 | 0.7778 |
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+ | 0.2665 | 2.78 | 450 | 1.1243 | 0.7569 |
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+ | 0.2743 | 2.93 | 475 | 0.8395 | 0.7778 |
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+ | 0.1787 | 3.09 | 500 | 0.8320 | 0.7986 |
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+ | 0.1533 | 3.24 | 525 | 0.8909 | 0.7778 |
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+ | 0.1636 | 3.4 | 550 | 1.1212 | 0.7569 |
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+ | 0.1677 | 3.55 | 575 | 0.9527 | 0.7986 |
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+ | 0.1166 | 3.7 | 600 | 0.9082 | 0.8056 |
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+ | 0.1923 | 3.86 | 625 | 1.1074 | 0.75 |
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+ | 0.108 | 4.01 | 650 | 1.0360 | 0.7847 |
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+ | 0.1023 | 4.17 | 675 | 1.0964 | 0.7708 |
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+ | 0.1122 | 4.32 | 700 | 1.2101 | 0.7569 |
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+ | 0.1501 | 4.48 | 725 | 0.9138 | 0.8125 |
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+ | 0.098 | 4.63 | 750 | 0.8422 | 0.8194 |
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+ | 0.0585 | 4.78 | 775 | 1.0018 | 0.7917 |
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+ | 0.1135 | 4.94 | 800 | 1.0409 | 0.7847 |
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  ### Framework versions