Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mariadg/AttackVectorClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mariadg/AttackVectorClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mariadg/AttackVectorClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mariadg/AttackVectorClassifier") model = AutoModelForSequenceClassification.from_pretrained("mariadg/AttackVectorClassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1, checkpoint
Browse files- last-checkpoint/model.safetensors +1 -1
- last-checkpoint/optimizer.pt +1 -1
- last-checkpoint/rng_state.pth +1 -1
- last-checkpoint/scheduler.pt +1 -1
- last-checkpoint/trainer_state.json +102 -451
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| 353 |
}
|
| 354 |
],
|
| 355 |
"logging_steps": 50,
|
|
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|
| 364 |
"early_stopping_threshold": 0.0
|
| 365 |
},
|
| 366 |
"attributes": {
|
| 367 |
+
"early_stopping_patience_counter": 0
|
| 368 |
}
|
| 369 |
},
|
| 370 |
"TrainerControl": {
|
|
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|
| 378 |
"attributes": {}
|
| 379 |
}
|
| 380 |
},
|
| 381 |
+
"total_flos": 6539240997132864.0,
|
| 382 |
"train_batch_size": 16,
|
| 383 |
"trial_name": null,
|
| 384 |
"trial_params": null
|