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ast-finetuned-audioset-10-10-0.4593-keyword_spotting2 – AI Model by aryamtos | AlphaNeural AI
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ast-finetuned-audioset-10-10-0.4593-keyword_spotting2
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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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ast-finetuned-audioset-10-10-0.4593-keyword_spotting2
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: 1.0123
Accuracy: 0.8228
Wer: 0.1772
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Wer
0.0008
1.0
28
1.3229
0.8228
0.1772
0.3356
2.0
56
1.3607
0.8228
0.1772
0.0035
3.0
84
1.0123
0.8228
0.1772
0.0051
4.0
112
1.5980
0.8228
0.1772
0.0001
5.0
140
1.4630
0.8228
0.1772
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.7.dev0
Tokenizers 0.14.1
