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Librarian Bot: Add base_model information to model (#1)
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - coscan-speech2
metrics:
  - accuracy
base_model: facebook/wav2vec2-base
model-index:
  - name: wav2vec2-base-coscan-no-area
    results:
      - task:
          type: audio-classification
          name: Audio Classification
        dataset:
          name: Coscan Speech
          type: NbAiLab/coscan-speech
        metrics:
          - type: accuracy
            value: 0.8360824410790649
            name: Test Accuracy
          - type: accuracy
            value: 0.9485961489524133
            name: Validation Accuracy

wav2vec2-base-coscan-no-area

This model is a fine-tuned version of facebook/wav2vec2-base on the coscan-speech2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3398
  • Accuracy: 0.9486

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
0.0015 1.0 6468 0.3398 0.9486

Framework versions

  • Transformers 4.22.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 2.4.1.dev0
  • Tokenizers 0.12.1