End of training
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- model.safetensors +1 -1
README.md
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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: speech-accent-detection
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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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# speech-accent-detection
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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: 0.0441
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- Accuracy: 0.9955
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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: 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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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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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| 0.8005 | 1.0 | 2205 | 0.6526 | 0.8270 |
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| 0.0508 | 2.0 | 4410 | 0.3466 | 0.9374 |
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| 0.3054 | 3.0 | 6615 | 0.2946 | 0.9524 |
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| 0.0882 | 4.0 | 8820 | 0.1832 | 0.9737 |
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| 0.0006 | 5.0 | 11025 | 0.1539 | 0.9757 |
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| 0.0003 | 6.0 | 13230 | 0.0677 | 0.9896 |
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| 0.3011 | 7.0 | 15435 | 0.1219 | 0.9859 |
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| 0.0001 | 8.0 | 17640 | 0.0695 | 0.9916 |
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| 0.0001 | 9.0 | 19845 | 0.0397 | 0.9955 |
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| 0.0 | 10.0 | 22050 | 0.0441 | 0.9955 |
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### Framework versions
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- Transformers 4.48.0
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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