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hubert-voxceleb-sentiment – AI Model by asimokby | AlphaNeural AI
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hubert-voxceleb-sentiment
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transformers
safetensors
hubert
audio-classification
generated_from_trainer
facebook/hubert-base-ls960
finetune
apache-2.0
endpoints_compatible
us
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hubert-voxceleb-sentiment
This model is a fine-tuned version of
facebook/hubert-base-ls960
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6876
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.8929
1.0
889
0.6959
0.8794
2.0
1778
0.6876
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0