Text Classification
Transformers
Safetensors
English
modernbert
agent-safety
tool-calling
guardrails
long-context
Eval Results (legacy)
text-embeddings-inference
Instructions to use ProCreations/auto-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-1b")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-1b") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-1b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_event": { | |
| "stage": "long", | |
| "epoch": 1, | |
| "updates": 475, | |
| "elapsed_minutes": 101.89947225252787, | |
| "val": { | |
| "n": 5000, | |
| "accuracy": 0.9782, | |
| "balanced_accuracy": 0.9782051128204513, | |
| "f1": 0.9781869121472883, | |
| "auroc": 0.9962768651074603, | |
| "false_approve_rate": 0.024351297405189622, | |
| "false_deny_rate": 0.019238476953907815 | |
| } | |
| }, | |
| "events": [ | |
| { | |
| "stage": "short", | |
| "epoch": 1, | |
| "updates": 445, | |
| "elapsed_minutes": 90.93741570313772, | |
| "val": { | |
| "n": 12000, | |
| "accuracy": 0.979, | |
| "balanced_accuracy": 0.9790000000000001, | |
| "f1": 0.978901540522438, | |
| "auroc": 0.9971977638888889, | |
| "false_approve_rate": 0.025666666666666667, | |
| "false_deny_rate": 0.01633333333333333 | |
| } | |
| }, | |
| { | |
| "stage": "short", | |
| "epoch": 2, | |
| "updates": 890, | |
| "elapsed_minutes": 181.91674359242123, | |
| "val": { | |
| "n": 12000, | |
| "accuracy": 0.9805, | |
| "balanced_accuracy": 0.9804999999999999, | |
| "f1": 0.980529206190714, | |
| "auroc": 0.9975644305555555, | |
| "false_approve_rate": 0.018, | |
| "false_deny_rate": 0.021 | |
| } | |
| }, | |
| { | |
| "stage": "long", | |
| "epoch": 1, | |
| "updates": 475, | |
| "elapsed_minutes": 101.89947225252787, | |
| "val": { | |
| "n": 5000, | |
| "accuracy": 0.9782, | |
| "balanced_accuracy": 0.9782051128204513, | |
| "f1": 0.9781869121472883, | |
| "auroc": 0.9962768651074603, | |
| "false_approve_rate": 0.024351297405189622, | |
| "false_deny_rate": 0.019238476953907815 | |
| } | |
| } | |
| ] | |
| } | |