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README.md
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---
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license: apache-2.0
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tags:
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- Speech-Emotion-Recognition
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- generated_from_trainer
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model-index:
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- name: Wav2vec2-xlsr-Shemo-Ravdess-4EMO
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results: []
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# Wav2vec2-xlsr-Shemo-Ravdess-4EMO
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This model is a fine-tuned version of [makhataei/Wav2vec2-xlsr-Shemo-Ravdess](https://huggingface.co/makhataei/Wav2vec2-xlsr-Shemo-Ravdess) on the
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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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: 0.1
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- num_epochs:
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### Framework versions
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: Wav2vec2-xlsr-Shemo-Ravdess-4EMO
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results: []
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# Wav2vec2-xlsr-Shemo-Ravdess-4EMO
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This model is a fine-tuned version of [makhataei/Wav2vec2-xlsr-Shemo-Ravdess](https://huggingface.co/makhataei/Wav2vec2-xlsr-Shemo-Ravdess) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7620
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- Accuracy: 0.7166
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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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: 0.1
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- num_epochs: 20
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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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| 0.9005 | 1.0 | 250 | 0.9626 | 0.6281 |
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| 0.7649 | 2.0 | 500 | 0.9174 | 0.6644 |
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| 0.7195 | 3.0 | 750 | 0.9076 | 0.6735 |
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| 0.7027 | 4.0 | 1000 | 0.7965 | 0.7029 |
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| 0.6961 | 5.0 | 1250 | 0.8240 | 0.6712 |
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| 0.6929 | 6.0 | 1500 | 0.7833 | 0.7052 |
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| 0.6637 | 7.0 | 1750 | 0.7416 | 0.7166 |
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| 0.6836 | 8.0 | 2000 | 0.7235 | 0.7234 |
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| 0.6773 | 9.0 | 2250 | 0.7284 | 0.7098 |
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| 0.6824 | 10.0 | 2500 | 0.7400 | 0.7166 |
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| 0.6612 | 11.0 | 2750 | 0.7861 | 0.7143 |
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| 0.6521 | 12.0 | 3000 | 0.7893 | 0.7029 |
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| 0.6565 | 13.0 | 3250 | 0.7652 | 0.7098 |
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| 0.6583 | 14.0 | 3500 | 0.8202 | 0.7098 |
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| 0.6475 | 15.0 | 3750 | 0.7605 | 0.7234 |
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| 0.6439 | 16.0 | 4000 | 0.7887 | 0.7211 |
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| 0.6499 | 17.0 | 4250 | 0.7645 | 0.7256 |
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| 0.6289 | 18.0 | 4500 | 0.7910 | 0.7279 |
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| 0.6088 | 19.0 | 4750 | 0.7755 | 0.7120 |
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| 0.604 | 20.0 | 5000 | 0.7620 | 0.7166 |
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### Framework versions
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