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README.md
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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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- 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 None 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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