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hubert-large-gender-auto – AI Model by ittailup | AlphaNeural AI
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ittailup
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hubert-large-gender-auto
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transformers
tensorboard
safetensors
hubert
audio-classification
generated_from_trainer
facebook/hubert-large-ls960-ft
finetune
apache-2.0
endpoints_compatible
us
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HuBERT Large Gender Classification
This model is a fine-tuned version of
facebook/hubert-large-ls960-ft
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0547
Accuracy: 0.9861
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: 1e-05
train_batch_size: 8
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0553
0.0527
1000
0.0683
0.9845
0.0548
0.1053
2000
0.0709
0.9842
0.0237
0.1580
3000
0.0547
0.9861
Framework versions
Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
