jstoone commited on
Commit
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End of training

Browse files
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: 0.9347826086956522
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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 [bookbot/distil-ast-audioset](https://huggingface.co/bookbot/distil-ast-audioset) on the DonateACry dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2731
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- - Accuracy: 0.9348
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  ## Model description
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@@ -66,16 +66,16 @@ 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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- | 0.424 | 1.0 | 46 | 0.2375 | 0.9565 |
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- | 0.5755 | 2.0 | 92 | 0.3218 | 0.9565 |
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- | 0.5466 | 3.0 | 138 | 0.1731 | 0.9565 |
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- | 0.3545 | 4.0 | 184 | 0.2719 | 0.9348 |
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- | 0.0759 | 5.0 | 230 | 0.1582 | 0.9348 |
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- | 0.0178 | 6.0 | 276 | 0.2576 | 0.9130 |
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- | 0.0032 | 7.0 | 322 | 0.2695 | 0.9348 |
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- | 0.0014 | 8.0 | 368 | 0.2496 | 0.9348 |
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- | 0.0005 | 9.0 | 414 | 0.2639 | 0.9348 |
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- | 0.0004 | 10.0 | 460 | 0.2731 | 0.9348 |
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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: 0.6363636363636364
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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 [bookbot/distil-ast-audioset](https://huggingface.co/bookbot/distil-ast-audioset) on the DonateACry dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8592
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+ - Accuracy: 0.6364
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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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+ | 1.9595 | 1.0 | 11 | 1.6120 | 0.0909 |
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+ | 1.3053 | 2.0 | 22 | 1.3677 | 0.2727 |
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+ | 0.7604 | 3.0 | 33 | 1.9563 | 0.1818 |
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+ | 0.4351 | 4.0 | 44 | 1.3875 | 0.5455 |
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+ | 0.316 | 5.0 | 55 | 1.7235 | 0.5455 |
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+ | 0.0949 | 6.0 | 66 | 1.5362 | 0.6364 |
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+ | 0.0355 | 7.0 | 77 | 1.8020 | 0.5455 |
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+ | 0.0156 | 8.0 | 88 | 1.8320 | 0.6364 |
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+ | 0.0102 | 9.0 | 99 | 1.9028 | 0.6364 |
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+ | 0.0061 | 10.0 | 110 | 1.8592 | 0.6364 |
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  ### Framework versions
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