AST2-finetuned-on-shEMO

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:

• eval_loss: 1.6144
• eval_accuracy: 0.7933
• eval_runtime: 36.3896
• eval_samples_per_second: 8.244
• eval_steps_per_second: 2.061
• epoch: 18.13
• step: 2719

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• 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