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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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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: results |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# results |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the [speech-emotion-recognition-en](https://www.kaggle.com/datasets/dmitrybabko/speech-emotion-recognition-en) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7358 |
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- Accuracy: 0.8338 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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- mixed_precision_training: Native AMP |
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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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| 0.8199 | 1.0 | 1161 | 0.7154 | 0.7446 | |
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| 0.7633 | 2.0 | 2322 | 0.5800 | 0.8019 | |
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| 0.5081 | 3.0 | 3483 | 0.5602 | 0.8084 | |
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| 0.3336 | 4.0 | 4644 | 0.6145 | 0.8277 | |
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| 0.3169 | 5.0 | 5805 | 0.6933 | 0.8316 | |
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| 0.1281 | 6.0 | 6966 | 0.7358 | 0.8338 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.1 |
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- Tokenizers 0.21.1 |
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