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
File size: 1,618 Bytes
0dc656b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | {
"best_event": {
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"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
}
}
]
}
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