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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
metrics:
  - accuracy
base_model: facebook/wav2vec2-base
model-index:
  - name: wav2vec2-base-finetuned-digits
    results: []

wav2vec2-base-finetuned-digits

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

  • Loss: 0.0605
  • Accuracy: 0.9846

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: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.4808 1.0 620 0.3103 0.9696
0.1877 2.0 1240 0.1043 0.9791
0.1478 3.0 1860 0.0727 0.9827
0.1611 4.0 2480 0.0644 0.9842
0.0993 5.0 3100 0.0605 0.9846

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0+cu102
  • Datasets 2.3.2
  • Tokenizers 0.12.1