Instructions to use beingbatman/5c_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beingbatman/5c_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="beingbatman/5c_4")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("beingbatman/5c_4") model = AutoModelForVideoClassification.from_pretrained("beingbatman/5c_4") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- all_results.json +8 -0
- trainer_state.json +0 -0
- val_results.json +8 -0
all_results.json
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{
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"epoch": 99.01,
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"eval_accuracy": 0.48,
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"eval_loss": 4.450888633728027,
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"eval_runtime": 32.6242,
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"eval_samples_per_second": 0.766,
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"eval_steps_per_second": 0.766
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}
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trainer_state.json
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val_results.json
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{
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"epoch": 99.01,
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"eval_accuracy": 0.48,
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"eval_loss": 4.450888633728027,
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"eval_runtime": 32.6242,
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"eval_samples_per_second": 0.766,
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"eval_steps_per_second": 0.766
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}
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