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distilhubert-finetuned-gtzan – AI Model by imrajeshkr | AlphaNeural AI
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imrajeshkr
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distilhubert-finetuned-gtzan
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transformers
tensorboard
safetensors
hubert
audio-classification
generated_from_trainer
marsyas/gtzan
ntu-spml/distilhubert
finetune
apache-2.0
model-index
endpoints_compatible
us
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distilhubert-finetuned-gtzan
This model is a fine-tuned version of
ntu-spml/distilhubert
on the Speech_command_RK dataset. It achieves the following results on the evaluation set:
Loss: 0.2480
Accuracy: 0.9976
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: 264
eval_batch_size: 264
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.4512
1.0
25
2.2018
0.6638
1.2836
2.0
50
1.0664
0.9636
0.6447
3.0
75
0.5056
0.9891
0.3833
4.0
100
0.2985
0.9964
0.3167
5.0
125
0.2480
0.9976
Framework versions
Transformers 4.40.0
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
