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results – AI Model by binmacn | AlphaNeural AI
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transformers
safetensors
audio-spectrogram-transformer
audio-classification
generated_from_trainer
MIT/ast-finetuned-audioset-10-10-0.4593
finetune
bsd-3-clause
endpoints_compatible
us
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This model is a fine-tuned version of
MIT/ast-finetuned-audioset-10-10-0.4593
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2118
Accuracy: 0.9699
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7356
1.0
631
0.3865
0.9209
0.1865
2.0
1262
0.2016
0.9557
0.0
3.0
1893
0.2118
0.9699
Framework versions
Transformers 4.39.2
Pytorch 2.0.1+cu117
Datasets 2.18.0
Tokenizers 0.15.2
