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Krithika-p
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my_awesome_mind_model

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
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Krithika-p commited on
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End of training

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Files changed (3) hide show
  1. README.md +51 -40
  2. model.safetensors +1 -1
  3. runs/Dec10_00-22-58_033d2eee27e8/events.out.tfevents.1702167786.033d2eee27e8.572.0 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.2793103448275862
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3078
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- - Accuracy: 0.2793
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  ## Model description
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@@ -67,43 +67,54 @@ 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 | 0.73 | 2 | 2.6832 | 0.1241 |
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- | No log | 1.82 | 5 | 2.6800 | 0.1103 |
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- | No log | 2.91 | 8 | 2.6726 | 0.1207 |
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- | 2.6498 | 4.0 | 11 | 2.6580 | 0.1483 |
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- | 2.6498 | 4.73 | 13 | 2.6454 | 0.1379 |
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- | 2.6498 | 5.82 | 16 | 2.6245 | 0.1379 |
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- | 2.6498 | 6.91 | 19 | 2.6038 | 0.1414 |
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- | 2.6057 | 8.0 | 22 | 2.5839 | 0.1552 |
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- | 2.6057 | 8.73 | 24 | 2.5656 | 0.1655 |
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- | 2.6057 | 9.82 | 27 | 2.5378 | 0.1552 |
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- | 2.524 | 10.91 | 30 | 2.5192 | 0.1862 |
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- | 2.524 | 12.0 | 33 | 2.4996 | 0.1931 |
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- | 2.524 | 12.73 | 35 | 2.4900 | 0.2069 |
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- | 2.524 | 13.82 | 38 | 2.4663 | 0.2138 |
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- | 2.4304 | 14.91 | 41 | 2.4498 | 0.2207 |
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- | 2.4304 | 16.0 | 44 | 2.4309 | 0.2138 |
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- | 2.4304 | 16.73 | 46 | 2.4291 | 0.2310 |
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- | 2.4304 | 17.82 | 49 | 2.4106 | 0.2517 |
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- | 2.3519 | 18.91 | 52 | 2.3944 | 0.2310 |
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- | 2.3519 | 20.0 | 55 | 2.3949 | 0.2414 |
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- | 2.3519 | 20.73 | 57 | 2.3807 | 0.2414 |
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- | 2.2774 | 21.82 | 60 | 2.3661 | 0.2379 |
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- | 2.2774 | 22.91 | 63 | 2.3600 | 0.2345 |
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- | 2.2774 | 24.0 | 66 | 2.3572 | 0.2483 |
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- | 2.2774 | 24.73 | 68 | 2.3430 | 0.2345 |
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- | 2.2402 | 25.82 | 71 | 2.3369 | 0.2586 |
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- | 2.2402 | 26.91 | 74 | 2.3365 | 0.2586 |
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- | 2.2402 | 28.0 | 77 | 2.3301 | 0.2621 |
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- | 2.2402 | 28.73 | 79 | 2.3274 | 0.2724 |
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- | 2.1901 | 29.82 | 82 | 2.3266 | 0.2759 |
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- | 2.1901 | 30.91 | 85 | 2.3207 | 0.2655 |
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- | 2.1901 | 32.0 | 88 | 2.3115 | 0.2724 |
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- | 2.148 | 32.73 | 90 | 2.3084 | 0.2724 |
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- | 2.148 | 33.82 | 93 | 2.3082 | 0.2724 |
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- | 2.148 | 34.91 | 96 | 2.3094 | 0.2828 |
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- | 2.148 | 36.0 | 99 | 2.3080 | 0.2793 |
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- | 2.1303 | 36.36 | 100 | 2.3078 | 0.2793 |
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.589247311827957
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3338
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+ - Accuracy: 0.5892
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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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+ | 2.7071 | 0.95 | 14 | 2.7063 | 0.0602 |
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+ | 2.7033 | 1.97 | 29 | 2.7006 | 0.0645 |
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+ | 2.6835 | 2.98 | 44 | 2.6793 | 0.0817 |
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+ | 2.6551 | 4.0 | 59 | 2.5549 | 0.1699 |
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+ | 2.5023 | 4.95 | 73 | 2.3970 | 0.2258 |
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+ | 2.4257 | 5.97 | 88 | 2.3068 | 0.2495 |
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+ | 2.2542 | 6.98 | 103 | 2.2121 | 0.2688 |
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+ | 2.2419 | 8.0 | 118 | 2.1736 | 0.2731 |
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+ | 2.1278 | 8.95 | 132 | 2.1675 | 0.2430 |
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+ | 2.0592 | 9.97 | 147 | 2.1207 | 0.2796 |
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+ | 1.9576 | 10.98 | 162 | 2.0662 | 0.2731 |
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+ | 1.9023 | 12.0 | 177 | 1.9738 | 0.3312 |
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+ | 1.8367 | 12.95 | 191 | 2.0420 | 0.2903 |
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+ | 1.7822 | 13.97 | 206 | 2.0161 | 0.2860 |
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+ | 1.6934 | 14.98 | 221 | 2.0215 | 0.2989 |
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+ | 1.7093 | 16.0 | 236 | 1.9287 | 0.3290 |
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+ | 1.6158 | 16.95 | 250 | 1.8138 | 0.3849 |
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+ | 1.5879 | 17.97 | 265 | 1.8043 | 0.3871 |
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+ | 1.5249 | 18.98 | 280 | 1.9117 | 0.3548 |
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+ | 1.4821 | 20.0 | 295 | 1.7242 | 0.4215 |
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+ | 1.4629 | 20.95 | 309 | 1.6981 | 0.4538 |
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+ | 1.3847 | 21.97 | 324 | 1.6701 | 0.4516 |
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+ | 1.3595 | 22.98 | 339 | 1.6891 | 0.4495 |
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+ | 1.298 | 24.0 | 354 | 1.6321 | 0.4667 |
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+ | 1.2479 | 24.95 | 368 | 1.5519 | 0.4989 |
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+ | 1.2135 | 25.97 | 383 | 1.5477 | 0.4839 |
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+ | 1.1833 | 26.98 | 398 | 1.5437 | 0.5032 |
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+ | 1.1298 | 28.0 | 413 | 1.5425 | 0.5097 |
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+ | 1.079 | 28.95 | 427 | 1.5076 | 0.5247 |
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+ | 1.0709 | 29.97 | 442 | 1.5288 | 0.5140 |
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+ | 1.0286 | 30.98 | 457 | 1.4497 | 0.5419 |
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+ | 0.9896 | 32.0 | 472 | 1.4663 | 0.5355 |
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+ | 0.9707 | 32.95 | 486 | 1.4683 | 0.5333 |
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+ | 0.9443 | 33.97 | 501 | 1.4977 | 0.5226 |
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+ | 0.8998 | 34.98 | 516 | 1.4178 | 0.5505 |
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+ | 0.9048 | 36.0 | 531 | 1.4131 | 0.5462 |
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+ | 0.8587 | 36.95 | 545 | 1.3791 | 0.5634 |
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+ | 0.84 | 37.97 | 560 | 1.4036 | 0.5527 |
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+ | 0.8155 | 38.98 | 575 | 1.4139 | 0.5505 |
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+ | 0.8086 | 40.0 | 590 | 1.3993 | 0.5462 |
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+ | 0.808 | 40.95 | 604 | 1.3325 | 0.5914 |
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+ | 0.7929 | 41.97 | 619 | 1.3500 | 0.5806 |
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+ | 0.7635 | 42.98 | 634 | 1.3471 | 0.5720 |
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+ | 0.761 | 44.0 | 649 | 1.3636 | 0.5634 |
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+ | 0.7456 | 44.95 | 663 | 1.3551 | 0.5828 |
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+ | 0.75 | 45.97 | 678 | 1.3431 | 0.5849 |
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+ | 0.7232 | 46.98 | 693 | 1.3338 | 0.5871 |
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+ | 0.7625 | 47.46 | 700 | 1.3338 | 0.5892 |
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  ### Framework versions
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