Text Classification
Transformers
Safetensors
modernbert
agent-safety
tool-calling
long-context
distillation
Eval Results (legacy)
text-embeddings-inference
Instructions to use ProCreations/auto-0.4b-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/auto-0.4b-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProCreations/auto-0.4b-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/auto-0.4b-2") model = AutoModelForSequenceClassification.from_pretrained("ProCreations/auto-0.4b-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,023 Bytes
d158bbb 1c297a0 d158bbb 1c297a0 d158bbb 1c297a0 d158bbb 1c297a0 d158bbb 1c297a0 d158bbb 1c297a0 d158bbb 1c297a0 d158bbb 1c297a0 d158bbb 1c297a0 d158bbb 1c297a0 d158bbb 1c297a0 | 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 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 | {
"removed_train": {
"heldout_group": 14,
"duplicate": 1
},
"removed_validation": {},
"alignment_sha256": "07c9c285026dfcc95c15c6454498b265138e36875c31ee3ad76b42a22d6049bd",
"no_truncation": true,
"synthetic_training_rows": 0,
"teacher_target_split": "train only",
"teacher_logits_sha256": "f78ba4870ad1dd79e669f71b6da238e3f35257c0175450b0ee70957ca89f0cce",
"teacher_train_agreement": 0.997955013097186,
"validation_partitions": {
"selection": 7824,
"calibration": 2581,
"audit": 2595,
"monitor": 7824
},
"train": {
"rows": 711985,
"tokens": 516733212,
"max_length": 51408,
"gt4096": 18578,
"gt16384": 4202,
"labels": {
"approve": 355072,
"deny": 356913
}
},
"validation": {
"rows": 13000,
"tokens": 15660962,
"max_length": 48710,
"gt4096": 827,
"gt16384": 185,
"labels": {
"approve": 6475,
"deny": 6525
}
},
"benchmark": {
"rows": 3000,
"tokens": 11710540,
"max_length": 56176,
"gt4096": 450,
"gt16384": 239,
"labels": {
"deny": 1401,
"approve": 1599
}
},
"augmentation": {
"rows": 120000,
"teacher_deny_fraction": 0.6710166666666667,
"teacher_confident_fraction": 0.8419916666666667,
"student_tokens": 34321670,
"teacher_logits_sha256": "aace8ec7b81715c7190c7a431968ba7c2bc8663167a52fbc3b7038d8bb148969",
"max_chars": 6000,
"seed": 20260910,
"source_rows_pool": 687947,
"original_label_of_call": {
"deny": 59804,
"approve": 60196
},
"lang": {
"English": 83906,
"German": 3603,
"Hindi": 3461,
"Italian": 3602,
"Mandarin Chinese": 3780,
"Korean": 3641,
"Portuguese": 3676,
"Russian": 3761,
"French": 3478,
"Japanese": 3502,
"Spanish": 3590
}
},
"stage_b_mixture": {
"augmented_rows": 120000,
"replay_rows": 173351,
"replay_fraction": 0.25,
"max_replay_length": 4096,
"tokens": 103822740
}
}
|