README.md

metadata

license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
  - generated_from_trainer
datasets:
  - vivos
metrics:
  - accuracy
model-index:
  - name: wav2vec2-base-finetuned-ks
    results:
      - task:
          name: Audio Classification
          type: audio-classification
        dataset:
          name: vivos
          type: vivos
          config: default
          split: test
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.006578947368421052

wav2vec2-base-finetuned-ks

This model is a fine-tuned version of facebook/wav2vec2-base on the vivos dataset. It achieves the following results on the evaluation set:

• Loss: 8.4169
• Accuracy: 0.0066

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9339	1.0	729	4.8775	0.0013
0.0735	2.0	1458	6.9721	0.0
0.0222	3.0	2187	7.9500	0.0
0.0368	4.0	2916	8.4169	0.0066
0.0118	5.0	3645	8.6286	0.0066

Framework versions

• Transformers 4.42.3
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.19.1