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sanchit-gandhi/
ast-fleurs-langid-dropout-0.2

Name: ast-fleurs-langid-dropout-0.2
Rating: 2.5 (5 reviews)

transformers

pytorch

tensorboard

audio-spectrogram-transformer

audio-classification

generated_from_trainer

fleurs

bsd-3-clause

endpoints_compatible

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ast-fleurs-langid-dropout-0.2

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

Loss: 7.3600
Accuracy: 0.1819

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: 4
eval_batch_size: 16
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_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0251	1.0	16987	6.7973	0.1689
0.0007	2.0	33974	7.3461	0.1787
0.0	3.0	50961	7.3600	0.1819

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1
Datasets 2.9.0
Tokenizers 0.13.2

sanchit-gandhi/ast-fleurs-langid-dropout-0.2

ast-fleurs-langid-dropout-0.2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sanchit-gandhi/
ast-fleurs-langid-dropout-0.2