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AGresse/
ast-finetuned-audioset-10-10-0.4593-finetuned-rfcx-reprod

Name: ast-finetuned-audioset-10-10-0.4593-finetuned-rfcx-reprod
Availability: InStock

transformers

tensorboard

safetensors

audio-spectrogram-transformer

audio-classification

generated_from_trainer

MIT/ast-finetuned-audioset-10-10-0.4593

finetune

bsd-3-clause

endpoints_compatible

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ast-finetuned-audioset-10-10-0.4593-finetuned-rfcx-reprod

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4964
Accuracy: 0.9475

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: 5e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.95,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: reduce_lr_on_plateau
lr_scheduler_warmup_ratio: 0.1
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0	0	0.8397	0.5805
0.1754	1.8896	5000	0.2016	0.9368
0.1259	3.7793	10000	0.2081	0.9481
0.0662	5.6689	15000	0.2144	0.9515
0.0507	7.5586	20000	0.3208	0.9461
0.0367	9.4482	25000	0.3234	0.9518
0.027	11.3379	30000	0.3243	0.9476
0.0123	13.2275	35000	0.3838	0.9470
0.0001	15.1172	40000	0.4480	0.9521

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

AGresse/ast-finetuned-audioset-10-10-0.4593-finetuned-rfcx-reprod

ast-finetuned-audioset-10-10-0.4593-finetuned-rfcx-reprod

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AGresse/
ast-finetuned-audioset-10-10-0.4593-finetuned-rfcx-reprod