README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - coscan-speech
metrics:
  - accuracy
model-index:
  - name: wav2vec2-base-finetuned-coscan-region
    results:
      - task:
          name: Audio Classification
          type: audio-classification
        dataset:
          name: Coscan Speech
          type: NbAiLab/coscan-speech
          args: 'no'
        metrics:
          - name: Test Accuracy
            type: accuracy
            value: 0.5768303269991318
          - name: Validation Accuracy
            type: accuracy
            value: 0.9734970364098222

wav2vec2-base-finetuned-coscan-region

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

• Loss: 0.1020
• Accuracy: 0.9735

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2089	1.0	6644	0.1020	0.9735

Framework versions

• Transformers 4.21.0
• Pytorch 1.10.1+cu102
• Datasets 2.4.0
• Tokenizers 0.12.1