stevhliu / my_awesome_minds_model

huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: -2
30-day runs: -7
Model's Last Updated: October 08 2022
audio-classification

Introduction of my_awesome_minds_model

Model Details of my_awesome_minds_model

my_awesome_minds_model

This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6986
  • Accuracy: 0.0442
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: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 0.8 3 2.6691 0.0708
No log 1.8 6 2.6824 0.0442
No log 2.8 9 2.6804 0.0708
3.1934 3.8 12 2.6884 0.0796
3.1934 4.8 15 2.6903 0.0531
3.1934 5.8 18 2.6876 0.0442
3.1711 6.8 21 2.6911 0.0531
3.1711 7.8 24 2.6977 0.0442
3.1711 8.8 27 2.6991 0.0442
3.152 9.8 30 2.6986 0.0442
Framework versions
  • Transformers 4.22.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.5.2
  • Tokenizers 0.12.1

Runs of stevhliu my_awesome_minds_model on huggingface.co

10
Total runs
0
24-hour runs
0
3-day runs
-2
7-day runs
-7
30-day runs

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