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---
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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metrics:
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- accuracy
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model-index:
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- name: audio-emotion-detection
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results: []
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---
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# Audio Emotion Detection
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53).
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It achieves the following results on the evaluation set:
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- Loss: 0.9555
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- Accuracy: 0.6262
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## Model description
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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.
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## Training and evaluation data
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- **mozilla-foundation/common_voice_6_0**
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- **speech-recognition-community-v2/dev_data**
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.5875 | 1.0 | 40 | 1.2574 | 0.5133 |
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| 1.1637 | 2.0 | 80 | 1.0852 | 0.5590 |
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| 0.9827 | 3.0 | 120 | 1.0048 | 0.6090 |
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| 0.8683 | 4.0 | 160 | 0.9555 | 0.6262 |
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