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hubert-emotion-classifier-pt-en-v2 – AI Model by amauri4 | AlphaNeural AI
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amauri4
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hubert-emotion-classifier-pt-en-v2
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transformers
tensorboard
safetensors
hubert
audio-classification
generated_from_trainer
facebook/hubert-base-ls960
finetune
apache-2.0
endpoints_compatible
us
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hubert-emotion-classifier-pt-en-v2
This model is a fine-tuned version of
facebook/hubert-base-ls960
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6230
Accuracy: 0.8521
F1: 0.8536
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: 16
eval_batch_size: 16
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
lr_scheduler_warmup_steps: 500
num_epochs: 15
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.2824
1.0
254
0.4829
0.8797
0.8806
0.3608
2.0
508
0.8904
0.7978
0.8006
0.3792
3.0
762
0.6753
0.8442
0.8443
0.3076
4.0
1016
0.6230
0.8521
0.8536
Framework versions
Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
