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S2_M1_R1_AST_42783267 – AI Model by alirzb | AlphaNeural AI
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alirzb
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S2_M1_R1_AST_42783267
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transformers
pytorch
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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S2_M1_R1_AST_42783267
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: 0.0063
Accuracy: 0.9987
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0012
1.0
231
0.0061
0.9987
0.0006
2.0
463
0.0073
0.9987
0.0006
3.0
694
0.0039
0.9974
0.0
4.0
926
0.0117
0.9974
0.0
4.99
1155
0.0063
0.9987
Framework versions
Transformers 4.32.1
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.13.3
