---
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](https://huggingface.co/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   |