transformers safetensors wavlm audio-classification generated_from_trainer base_model:microsoft/wavlm-base-plus endpoints_compatible region:us
---
base_model: microsoft/wavlm-base-plus
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wavelm-clean
  results: []
---

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# wavelm-clean

This model is a fine-tuned version of [microsoft/wavlm-base-plus](https://huggingface.co/microsoft/wavlm-base-plus) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3126
- Accuracy: 0.9049

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3896        | 1.0   | 181  | 0.3526          | 0.8998   |
| 0.2879        | 2.0   | 362  | 0.3417          | 0.9015   |
| 0.3128        | 3.0   | 543  | 0.3126          | 0.9049   |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
