Adam-ousse/ast-esc50-finetuned-fold1

AST Fine-Tuned on ESC-50 (Fold 1)

This checkpoint is an AST audio classifier fine-tuned on ESC-50 from the base model MIT/ast-finetuned-audioset-10-10-0.4593 (took the feature extractor and replaced the classification head to match ESC-50 dataset).

Training Setup

• Dataset: ESC-50
• Split protocol: Fold 1 as test, Fold 2 as validation, remaining folds as train
• Base model: MIT/ast-finetuned-audioset-10-10-0.4593
• Epochs: 30
• Batch size: 32
• Learning rate: 5e-5
• Weight decay: 1e-4
• Warmup ratio: 0.1
• Seed: 42

Results

• Best validation accuracy: 0.9675 (epoch 7)
• Test accuracy (fold 1): 0.9350
• Test loss (fold 1): 0.2708

Usage

from transformers import AutoFeatureExtractor, ASTForAudioClassification

repo_id = "Adam-ousse/ast-esc50-finetuned-fold1"
feature_extractor = AutoFeatureExtractor.from_pretrained(repo_id)
model = ASTForAudioClassification.from_pretrained(repo_id)
model.eval()

Notes

• This checkpoint corresponds to one fold setup (test fold 1).
• For publication-grade reporting, train and report all 5 folds and provide mean accuracy.