Instructions to use Evan-Lin/trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evan-Lin/trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Evan-Lin/trainer")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("Evan-Lin/trainer") model = AutoModelForAudioClassification.from_pretrained("Evan-Lin/trainer") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- eval_results.txt +6 -0
eval_results.txt
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epoch = 40.0
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eval_accuracy = 0.9275
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eval_loss = 0.36838600039482117
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eval_runtime = 5.809
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eval_samples_per_second = 68.859
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eval_steps_per_second = 8.607
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