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wav2vec2-lg-xlsr-ur-speech-emotion-recognition – AI Model by HowMannyMore | AlphaNeural AI
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HowMannyMore
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wav2vec2-lg-xlsr-ur-speech-emotion-recognition
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transformers
tensorboard
safetensors
wav2vec2
audio-classification
generated_from_trainer
facebook/wav2vec2-large-xlsr-53
finetune
apache-2.0
endpoints_compatible
us
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results
This model is a fine-tuned version of
facebook/wav2vec2-large-xlsr-53
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6829
Accuracy: 0.7762
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.779
1.0
696
1.6927
0.3870
1.2226
2.0
1392
1.0862
0.6473
0.9327
3.0
2088
0.8558
0.7272
0.7959
4.0
2784
0.6992
0.7769
0.7238
5.0
3480
0.6829
0.7762
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
