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--- |
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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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- audio-classification |
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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_prosodic_minimal |
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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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# wav2vec2_prosodic_minimal |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the MatsRooth/prosodic_minimal dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1205 |
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- Accuracy: 0.9802 |
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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: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 0 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 10.0 |
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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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| 0.3769 | 1.0 | 2151 | 0.2877 | 0.9318 | |
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| 0.4347 | 2.0 | 4302 | 0.1720 | 0.9608 | |
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| 0.3185 | 3.0 | 6453 | 0.1805 | 0.9625 | |
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| 0.3362 | 4.0 | 8604 | 0.1409 | 0.9720 | |
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| 0.2105 | 5.0 | 10755 | 0.1173 | 0.9753 | |
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| 0.2106 | 6.0 | 12906 | 0.1460 | 0.9733 | |
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| 0.1819 | 7.0 | 15057 | 0.1431 | 0.9743 | |
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| 0.2946 | 8.0 | 17208 | 0.1245 | 0.9766 | |
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| 0.0416 | 9.0 | 19359 | 0.1241 | 0.9786 | |
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| 0.1006 | 10.0 | 21510 | 0.1205 | 0.9802 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.9.0+cu128 |
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- Datasets 2.13.1 |
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- Tokenizers 0.15.0 |
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