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 |
- Downloads last month
- 38
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Hatman/audio-emotion-detection
Base model
facebook/wav2vec2-large-xlsr-53