susmitabhatt / my_awesome_mind_model

huggingface.co
Total runs: 8
24-hour runs: 2
7-day runs: 1
30-day runs: 1
Model's Last Updated: August 30 2023
audio-classification

Introduction of my_awesome_mind_model

Model Details of my_awesome_mind_model

my_awesome_mind_model

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

  • Loss: 1.7894
  • Accuracy: 0.46
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: 7e-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 0.96 6 2.2804 0.22
2.2742 1.92 12 2.1887 0.25
2.2742 2.88 18 2.1220 0.33
2.1487 4.0 25 2.0666 0.355
2.0354 4.96 31 1.9963 0.325
2.0354 5.92 37 1.9090 0.375
1.9246 6.88 43 1.8679 0.405
1.8416 8.0 50 1.8185 0.44
1.8416 8.96 56 1.7970 0.43
1.7858 9.6 60 1.7894 0.46
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3

Runs of susmitabhatt my_awesome_mind_model on huggingface.co

8
Total runs
2
24-hour runs
2
3-day runs
1
7-day runs
1
30-day runs

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