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ramen-noodels/
audio_blue_round_button_small_val_unnormalized

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audio_blue_round_button_small_val_unnormalized

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0120
Recall Pressed: 0.9974
Precision Pressed: 0.9847
F1 Pressed: 0.9910
False Negative Rate: 0.0026

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 82
eval_batch_size: 82
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Recall Pressed	Precision Pressed	F1 Pressed	False Negative Rate
0.0454	1.0	136	0.0120	0.9974	0.9847	0.9910	0.0026
0.0230	2.0	272	0.0130	0.9845	0.9974	0.9909	0.0155
0.0149	3.0	408	0.0098	0.9871	0.9871	0.9871	0.0129
0.0096	4.0	544	0.0119	0.9871	0.9871	0.9871	0.0129
0.0028	5.0	680	0.0095	0.9871	0.9846	0.9858	0.0129
0.0045	6.0	816	0.0178	0.9613	0.9868	0.9739	0.0387
0.0003	7.0	952	0.0166	0.9768	0.9921	0.9844	0.0232
0.0002	8.0	1088	0.0139	0.9845	0.9871	0.9858	0.0155
0.0001	9.0	1224	0.0143	0.9845	0.9896	0.9871	0.0155
0.0001	10.0	1360	0.0147	0.9845	0.9896	0.9871	0.0155

Framework versions

Transformers 5.8.1
Pytorch 2.7.1+cu118
Datasets 4.8.5
Tokenizers 0.22.2

ramen-noodels/audio_blue_round_button_small_val_unnormalized

audio_blue_round_button_small_val_unnormalized

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ramen-noodels/
audio_blue_round_button_small_val_unnormalized