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ast_bird_model – AI Model by saadashraf | AlphaNeural AI

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saadashraf/
ast_bird_model

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audio-spectrogram-transformer

audio-classification

generated_from_trainer

endpoints_compatible

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ast_bird_model

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the audio_dataset dataset.

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: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2