Text Classification
Transformers
PyTorch
TensorBoard
English
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use lukxus/TwitterCorona with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukxus/TwitterCorona with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lukxus/TwitterCorona")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lukxus/TwitterCorona") model = AutoModelForSequenceClassification.from_pretrained("lukxus/TwitterCorona") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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### Training results
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| Training Loss
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| 0.6085 | 3.0 | 0.4943 | 0.319262 | 0.191744 |
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| 0.6085 | 3.0 | 0.4943 | 0.319262 | 0.191744 |
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### Training results
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| Training Loss | Epoch | Validation Loss | F1 | F1 Macro |
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| 0.902700 | 1.0 | 0.704850 | 0.740065 | 0.749341 |
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| 0.531000 | 2.0 | 0.689495 | 0.777677 | 0.786924 |
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| 0.375200 | 3.0 | 0.585254 | 0.809506 | 0.816099 |
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