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ph-audio-classification-v1 – AI Model by herbiel | AlphaNeural AI
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herbiel
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ph-audio-classification-v1
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transformers
tensorboard
safetensors
hubert
audio-classification
generated_from_trainer
audiofolder
ntu-spml/distilhubert
finetune
apache-2.0
endpoints_compatible
us
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ph-audio-classification-v1
This model is a fine-tuned version of
ntu-spml/distilhubert
on the audiofolder dataset. It achieves the following results on the evaluation set:
eval_loss: 0.3404
eval_accuracy: 1.0
eval_runtime: 0.8233
eval_samples_per_second: 8.503
eval_steps_per_second: 1.215
epoch: 1.0
step: 4
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP
Framework versions
Transformers 4.46.3
Pytorch 2.4.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3
