metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
metrics:
- accuracy
model-index:
- name: audio-emotion-detection
results: []
Audio Emotion Detection
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53.
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
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5875 | 1.0 | 40 | 1.2574 | 0.5133 |
| 1.1637 | 2.0 | 80 | 1.0852 | 0.5590 |
| 0.9827 | 3.0 | 120 | 1.0048 | 0.6090 |
| 0.8683 | 4.0 | 160 | 0.9555 | 0.6262 |