ASTie-finetuned-on-shEMO

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ASTie-finetuned-on-shEMO

This model is a fine-tuned version of minoosh/ast-finetuned-audioset-10-10-0.4593-finetuned-ie on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.4229
• eval_accuracy: 0.8167
• eval_runtime: 37.6165
• eval_samples_per_second: 7.975
• eval_steps_per_second: 1.01
• epoch: 16.36
• step: 1227

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
• 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: 30

Framework versions

• Transformers 4.27.4
• Pytorch 1.13.0
• Datasets 2.11.0
• Tokenizers 0.13.2