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--- |
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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: wavlm-base-plus-ft |
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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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# wavlm-base-plus-ft |
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This model is a fine-tuned version of [microsoft/wavlm-base-plus](https://huggingface.co/microsoft/wavlm-base-plus) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0093 |
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- Accuracy: 0.9973 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:-----:|:--------:|:---------------:| |
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| 0.087 | 1.0 | 8558 | 0.9947 | 0.0216 | |
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| 0.0439 | 2.0 | 17117 | 0.9964 | 0.0117 | |
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| 0.0626 | 3.0 | 25675 | 0.9973 | 0.0093 | |
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| 0.0396 | 4.0 | 34232 | 0.9964 | 0.0097 | |
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| 0.0417 | 5.0 | 42790 | 0.9964 | 0.0123 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- Pytorch 1.11.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.12.1 |
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