Instructions to use SushantGautam/LogClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SushantGautam/LogClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SushantGautam/LogClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SushantGautam/LogClassification") model = AutoModelForSequenceClassification.from_pretrained("SushantGautam/LogClassification") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 8466455
End of training
Browse files- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
all_results.json
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"epoch": 1.0,
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"train_loss": 0.13692307832326586,
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"train_runtime": 237.2102,
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"train_samples": 229932,
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"train_samples_per_second": 969.317,
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"train_steps_per_second": 3.79
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.13692307832326586,
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"train_runtime": 237.2102,
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"train_samples": 229932,
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"train_samples_per_second": 969.317,
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"train_steps_per_second": 3.79
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trainer_state.json
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