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wav2vec2-emotion-recognition – AI Model by VasilisAsim | AlphaNeural AI
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VasilisAsim
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wav2vec2-emotion-recognition
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transformers
safetensors
wav2vec2
audio-classification
generated_from_trainer
ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-emotion-recognition
This model is a fine-tuned version of
ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2221
Accuracy: 0.9479
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
144
0.7688
0.8507
No log
2.0
288
0.4408
0.8993
No log
3.0
432
0.2798
0.9375
0.7338
4.0
576
0.2184
0.9479
0.7338
5.0
720
0.2221
0.9479
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
