model2024-05-21 / README.md
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metadata
license: apache-2.0
base_model: sravan-gorugantu/model2024-05-20
tags:
  - generated_from_trainer
datasets:
  - audiofolder
metrics:
  - accuracy
model-index:
  - name: model2024-05-21
    results:
      - task:
          name: Audio Classification
          type: audio-classification
        dataset:
          name: audiofolder
          type: audiofolder
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.988984088127295

model2024-05-21

This model is a fine-tuned version of sravan-gorugantu/model2024-05-20 on the audiofolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2042
  • Accuracy: 0.9890

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
No log 0.92 6 0.4721 0.9829
0.5325 2.0 13 0.3214 0.9890
0.5325 2.92 19 0.2483 0.9865
0.3277 4.0 26 0.2103 0.9890
0.2439 4.62 30 0.2042 0.9890

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.2