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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- minds14
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metrics:
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- accuracy
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model-index:
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- name: audio_cls_wavlm-libri-clean-100h-base-plus_minds14_finetune
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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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# audio_cls_wavlm-libri-clean-100h-base-plus_minds14_finetune
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This model is a fine-tuned version of [patrickvonplaten/wavlm-libri-clean-100h-base-plus](https://huggingface.co/patrickvonplaten/wavlm-libri-clean-100h-base-plus) on the minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6462
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- Accuracy: 0.0708
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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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
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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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| No log | 1.0 | 2 | 2.6464 | 0.0885 |
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| No log | 2.0 | 4 | 2.6503 | 0.0442 |
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| No log | 3.0 | 6 | 2.6485 | 0.0619 |
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| No log | 4.0 | 8 | 2.6484 | 0.0708 |
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| 2.6352 | 5.0 | 10 | 2.6473 | 0.0708 |
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| 2.6352 | 6.0 | 12 | 2.6476 | 0.0708 |
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| 2.6352 | 7.0 | 14 | 2.6473 | 0.0708 |
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| 2.6352 | 8.0 | 16 | 2.6466 | 0.0708 |
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| 2.6352 | 9.0 | 18 | 2.6462 | 0.0708 |
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| 2.6349 | 10.0 | 20 | 2.6462 | 0.0708 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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