It achieves the following results on the evaluation set:
Loss: 0.9555
Accuracy: 0.6262
Model description
A model that returns Labels for Angry, Disgusted, Fearful, Happy, Neutral, Sad, Suprised. All aduio was trained at a sampling rate of 16000 and all inputs should be transformed to work properly.
Training and evaluation data
mozilla-foundation/common_voice_6_0
speech-recognition-community-v2/dev_data
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
