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--- |
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base_model: microsoft/wavlm-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: wavlm-base |
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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 |
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This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3321 |
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- Accuracy: 0.8974 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 2 |
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- seed: 0 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.3744 | 1.0 | 793 | 0.3307 | 0.8974 | |
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| 0.3699 | 2.0 | 1586 | 0.3342 | 0.8974 | |
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| 0.2898 | 3.0 | 2379 | 0.3341 | 0.8974 | |
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| 0.3126 | 4.0 | 3173 | 0.3363 | 0.8974 | |
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| 0.3753 | 5.0 | 3966 | 0.3309 | 0.8974 | |
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| 0.3617 | 6.0 | 4759 | 0.3325 | 0.8974 | |
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| 0.3453 | 7.0 | 5552 | 0.3315 | 0.8974 | |
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| 0.3337 | 8.0 | 6346 | 0.3364 | 0.8974 | |
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| 0.2829 | 9.0 | 7139 | 0.3327 | 0.8974 | |
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| 0.3189 | 10.0 | 7930 | 0.3321 | 0.8974 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.0.post302 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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