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Bgeorge
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model_dialect

Audio Classification
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TensorBoard
Safetensors
wav2vec2
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  1. README.md +20 -16
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6309
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- - Accuracy: 0.7529
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- - Precision: 0.7608
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- - Recall: 0.7661
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- - F1: 0.7623
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  ## Model description
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@@ -50,22 +50,26 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 1.3499 | 1.0 | 217 | 1.4002 | 0.4065 | 0.2570 | 0.3730 | 0.2609 |
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- | 1.2635 | 2.0 | 434 | 1.0922 | 0.5242 | 0.6868 | 0.4970 | 0.4952 |
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- | 1.0379 | 3.0 | 651 | 1.0788 | 0.5335 | 0.7047 | 0.5137 | 0.5053 |
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- | 0.9536 | 4.0 | 868 | 0.8706 | 0.6513 | 0.6804 | 0.6631 | 0.6668 |
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- | 0.9321 | 5.0 | 1085 | 0.9052 | 0.6397 | 0.6693 | 0.6474 | 0.6307 |
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- | 0.9395 | 6.0 | 1302 | 0.8028 | 0.6767 | 0.7494 | 0.6692 | 0.6845 |
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- | 0.752 | 7.0 | 1519 | 0.7386 | 0.7344 | 0.7650 | 0.7386 | 0.7441 |
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- | 0.7984 | 8.0 | 1736 | 0.7100 | 0.7206 | 0.7370 | 0.7383 | 0.7323 |
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- | 0.5841 | 9.0 | 1953 | 0.6509 | 0.7413 | 0.7525 | 0.7494 | 0.7503 |
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- | 0.6678 | 10.0 | 2170 | 0.6309 | 0.7529 | 0.7608 | 0.7661 | 0.7623 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5314
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+ - Accuracy: 0.8037
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+ - Precision: 0.8089
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+ - Recall: 0.8091
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+ - F1: 0.8082
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 14
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 1.3748 | 1.0 | 217 | 1.3559 | 0.4042 | 0.2718 | 0.3728 | 0.2601 |
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+ | 1.2563 | 2.0 | 434 | 1.0753 | 0.5381 | 0.7306 | 0.5138 | 0.5170 |
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+ | 1.067 | 3.0 | 651 | 1.0822 | 0.5358 | 0.7650 | 0.5140 | 0.4983 |
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+ | 0.9445 | 4.0 | 868 | 0.8666 | 0.6328 | 0.6747 | 0.6382 | 0.6455 |
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+ | 0.937 | 5.0 | 1085 | 0.8759 | 0.6651 | 0.7032 | 0.6717 | 0.6599 |
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+ | 0.9265 | 6.0 | 1302 | 0.7807 | 0.6882 | 0.7358 | 0.6888 | 0.6943 |
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+ | 0.6593 | 7.0 | 1519 | 0.7010 | 0.7159 | 0.7489 | 0.7195 | 0.7272 |
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+ | 0.7836 | 8.0 | 1736 | 0.6679 | 0.7252 | 0.7633 | 0.7274 | 0.7356 |
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+ | 0.5569 | 9.0 | 1953 | 0.6159 | 0.7552 | 0.7826 | 0.7561 | 0.7592 |
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+ | 0.637 | 10.0 | 2170 | 0.6615 | 0.7436 | 0.7673 | 0.7589 | 0.7533 |
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+ | 0.6427 | 11.0 | 2387 | 0.5595 | 0.7737 | 0.7864 | 0.7798 | 0.7802 |
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+ | 0.5604 | 12.0 | 2604 | 0.5676 | 0.7852 | 0.7938 | 0.8000 | 0.7931 |
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+ | 0.3484 | 13.0 | 2821 | 0.5606 | 0.7991 | 0.8084 | 0.8130 | 0.8070 |
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+ | 0.514 | 14.0 | 3038 | 0.5314 | 0.8037 | 0.8089 | 0.8091 | 0.8082 |
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  ### Framework versions