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wav2vec2-base-finetuned-ravdess

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

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@@ -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 [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: 0.9291
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- - Accuracy: 0.7431
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  ## Model description
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@@ -52,56 +52,56 @@ 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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- | No log | 1.0 | 9 | 1.8542 | 0.375 |
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- | 1.8624 | 2.0 | 18 | 1.7931 | 0.4410 |
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- | 1.8211 | 3.0 | 27 | 1.7181 | 0.4479 |
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- | 1.7355 | 4.0 | 36 | 1.6184 | 0.4861 |
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- | 1.6208 | 5.0 | 45 | 1.5383 | 0.4965 |
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- | 1.4999 | 6.0 | 54 | 1.4630 | 0.5069 |
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- | 1.4016 | 7.0 | 63 | 1.4161 | 0.5278 |
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- | 1.3028 | 8.0 | 72 | 1.3513 | 0.5312 |
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- | 1.2202 | 9.0 | 81 | 1.3359 | 0.5625 |
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- | 1.1506 | 10.0 | 90 | 1.3518 | 0.5625 |
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- | 1.1506 | 11.0 | 99 | 1.2043 | 0.6076 |
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- | 1.0749 | 12.0 | 108 | 1.2926 | 0.5833 |
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- | 0.993 | 13.0 | 117 | 1.1970 | 0.6181 |
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- | 0.8961 | 14.0 | 126 | 1.1593 | 0.6285 |
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- | 0.8062 | 15.0 | 135 | 1.1184 | 0.6424 |
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- | 0.7547 | 16.0 | 144 | 1.1318 | 0.6285 |
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- | 0.7192 | 17.0 | 153 | 1.0872 | 0.6493 |
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- | 0.65 | 18.0 | 162 | 1.0737 | 0.6528 |
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- | 0.6142 | 19.0 | 171 | 1.0677 | 0.6597 |
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- | 0.5845 | 20.0 | 180 | 1.0220 | 0.6806 |
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- | 0.5845 | 21.0 | 189 | 0.9968 | 0.6840 |
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- | 0.5217 | 22.0 | 198 | 0.9864 | 0.6840 |
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- | 0.4798 | 23.0 | 207 | 0.9708 | 0.6840 |
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- | 0.4501 | 24.0 | 216 | 1.0981 | 0.6632 |
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- | 0.4339 | 25.0 | 225 | 1.0536 | 0.6806 |
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- | 0.4274 | 26.0 | 234 | 0.9387 | 0.6979 |
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- | 0.3742 | 27.0 | 243 | 0.9879 | 0.6979 |
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- | 0.3747 | 28.0 | 252 | 0.9773 | 0.6979 |
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- | 0.3389 | 29.0 | 261 | 0.9257 | 0.7361 |
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- | 0.3213 | 30.0 | 270 | 0.9292 | 0.7049 |
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- | 0.3213 | 31.0 | 279 | 0.9555 | 0.7153 |
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- | 0.3007 | 32.0 | 288 | 0.9733 | 0.7083 |
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- | 0.2681 | 33.0 | 297 | 1.0336 | 0.6979 |
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- | 0.2576 | 34.0 | 306 | 1.0443 | 0.6875 |
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- | 0.2561 | 35.0 | 315 | 0.9261 | 0.7292 |
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- | 0.2575 | 36.0 | 324 | 1.0833 | 0.6771 |
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- | 0.2483 | 37.0 | 333 | 0.9775 | 0.7083 |
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- | 0.2108 | 38.0 | 342 | 0.8911 | 0.7326 |
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- | 0.218 | 39.0 | 351 | 1.0301 | 0.6840 |
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- | 0.1927 | 40.0 | 360 | 0.9935 | 0.7014 |
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- | 0.1927 | 41.0 | 369 | 0.9619 | 0.7292 |
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- | 0.1945 | 42.0 | 378 | 1.0197 | 0.6944 |
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- | 0.1926 | 43.0 | 387 | 0.9291 | 0.7431 |
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- | 0.1799 | 44.0 | 396 | 1.0348 | 0.6875 |
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- | 0.1768 | 45.0 | 405 | 0.9899 | 0.7153 |
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- | 0.1728 | 46.0 | 414 | 1.0284 | 0.7049 |
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- | 0.1713 | 47.0 | 423 | 1.0527 | 0.7049 |
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- | 0.1638 | 48.0 | 432 | 1.0001 | 0.7083 |
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- | 0.159 | 49.0 | 441 | 0.9931 | 0.7153 |
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- | 0.1637 | 50.0 | 450 | 1.0015 | 0.7118 |
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  ### Framework versions
 
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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: 0.8783
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+ - Accuracy: 0.7535
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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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+ | No log | 1.0 | 9 | 2.0739 | 0.1562 |
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+ | 2.0781 | 2.0 | 18 | 2.0611 | 0.1181 |
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+ | 2.0668 | 3.0 | 27 | 2.0308 | 0.2535 |
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+ | 2.0429 | 4.0 | 36 | 1.9606 | 0.2604 |
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+ | 1.974 | 5.0 | 45 | 1.8449 | 0.2847 |
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+ | 1.8594 | 6.0 | 54 | 1.7678 | 0.2917 |
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+ | 1.7675 | 7.0 | 63 | 1.7700 | 0.2708 |
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+ | 1.6932 | 8.0 | 72 | 1.6049 | 0.3889 |
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+ | 1.5656 | 9.0 | 81 | 1.5510 | 0.4444 |
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+ | 1.4658 | 10.0 | 90 | 1.4535 | 0.4583 |
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+ | 1.4658 | 11.0 | 99 | 1.4101 | 0.4514 |
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+ | 1.3843 | 12.0 | 108 | 1.3687 | 0.5 |
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+ | 1.3085 | 13.0 | 117 | 1.3333 | 0.5035 |
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+ | 1.2264 | 14.0 | 126 | 1.3208 | 0.5208 |
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+ | 1.1349 | 15.0 | 135 | 1.3048 | 0.5312 |
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+ | 1.0861 | 16.0 | 144 | 1.2428 | 0.5799 |
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+ | 0.9836 | 17.0 | 153 | 1.1886 | 0.5799 |
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+ | 0.9273 | 18.0 | 162 | 1.1574 | 0.6146 |
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+ | 0.8686 | 19.0 | 171 | 1.1356 | 0.6111 |
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+ | 0.814 | 20.0 | 180 | 1.1261 | 0.6285 |
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+ | 0.814 | 21.0 | 189 | 1.0796 | 0.6007 |
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+ | 0.7279 | 22.0 | 198 | 1.0277 | 0.6493 |
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+ | 0.6845 | 23.0 | 207 | 1.0408 | 0.6840 |
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+ | 0.6283 | 24.0 | 216 | 0.9708 | 0.7153 |
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+ | 0.5835 | 25.0 | 225 | 0.9926 | 0.6875 |
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+ | 0.5445 | 26.0 | 234 | 1.0126 | 0.6840 |
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+ | 0.497 | 27.0 | 243 | 0.9502 | 0.6979 |
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+ | 0.4508 | 28.0 | 252 | 0.9432 | 0.7118 |
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+ | 0.4331 | 29.0 | 261 | 0.9246 | 0.7014 |
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+ | 0.4023 | 30.0 | 270 | 0.9649 | 0.6875 |
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+ | 0.4023 | 31.0 | 279 | 0.9114 | 0.7049 |
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+ | 0.3924 | 32.0 | 288 | 0.9460 | 0.7118 |
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+ | 0.3797 | 33.0 | 297 | 0.9605 | 0.7118 |
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+ | 0.3494 | 34.0 | 306 | 0.8505 | 0.7396 |
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+ | 0.3195 | 35.0 | 315 | 0.8830 | 0.7188 |
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+ | 0.3148 | 36.0 | 324 | 0.9352 | 0.7014 |
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+ | 0.2856 | 37.0 | 333 | 0.8551 | 0.7292 |
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+ | 0.2831 | 38.0 | 342 | 0.8505 | 0.7326 |
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+ | 0.2718 | 39.0 | 351 | 0.8800 | 0.7396 |
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+ | 0.2624 | 40.0 | 360 | 0.8991 | 0.7153 |
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+ | 0.2624 | 41.0 | 369 | 0.8724 | 0.7465 |
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+ | 0.2612 | 42.0 | 378 | 0.9138 | 0.7049 |
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+ | 0.2511 | 43.0 | 387 | 0.8914 | 0.7257 |
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+ | 0.2324 | 44.0 | 396 | 0.8783 | 0.7535 |
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+ | 0.2228 | 45.0 | 405 | 0.9215 | 0.7188 |
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+ | 0.2244 | 46.0 | 414 | 0.8904 | 0.7431 |
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+ | 0.2192 | 47.0 | 423 | 0.9142 | 0.7326 |
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+ | 0.217 | 48.0 | 432 | 0.8891 | 0.7361 |
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+ | 0.2146 | 49.0 | 441 | 0.9009 | 0.7326 |
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+ | 0.215 | 50.0 | 450 | 0.8994 | 0.7361 |
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  ### Framework versions