---
base_model: /home/cloudwalker/ASVmodel/wavlm-base_2/checkpoint-19700
tags:
- audio-classification
- generated_from_trainer
model-index:
- name: wavlm-base_2_predict
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# wavlm-base_2_predict

This model is a fine-tuned version of [/home/cloudwalker/ASVmodel/wavlm-base_2/checkpoint-19700](https://huggingface.co//home/cloudwalker/ASVmodel/wavlm-base_2/checkpoint-19700) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3326
- eval_accuracy: 0.8974
- eval_runtime: 502.5226
- eval_samples_per_second: 49.439
- eval_steps_per_second: 24.719
- step: 0

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 2
- seed: 0
- 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: 50.0

### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.0.post302
- Datasets 2.14.5
- Tokenizers 0.13.3