Instructions to use danielfein/raid-ce-gemma4-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielfein/raid-ce-gemma4-e4b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("danielfein/raid-ce-gemma4-e4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add seed 101 evaluation
Browse files- seeds/101/summary.json +42 -0
seeds/101/summary.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"beemo": {
|
| 3 |
+
"accuracy_at_zero": 0.7068885806749884,
|
| 4 |
+
"auroc": 0.7565249117839237,
|
| 5 |
+
"auroc_ci95": [
|
| 6 |
+
0.7426192602909137,
|
| 7 |
+
0.7701325982367685
|
| 8 |
+
],
|
| 9 |
+
"mean_ai_score": 8.459569506846641,
|
| 10 |
+
"mean_human_score": -0.7130339165776624,
|
| 11 |
+
"pairs": 2163,
|
| 12 |
+
"texts": 4326
|
| 13 |
+
},
|
| 14 |
+
"full_steps": 75,
|
| 15 |
+
"full_train_pairs": 5000,
|
| 16 |
+
"full_train_sources": 4081,
|
| 17 |
+
"raid_standard_test": {
|
| 18 |
+
"accuracy_at_zero": 0.8465,
|
| 19 |
+
"auroc": 0.9503284444444446,
|
| 20 |
+
"auroc_ci95": [
|
| 21 |
+
0.9451532750000001,
|
| 22 |
+
0.9554070277777778
|
| 23 |
+
],
|
| 24 |
+
"mean_ai_score": 6.605718453546365,
|
| 25 |
+
"mean_human_score": -13.570049094657103,
|
| 26 |
+
"pairs": 3000,
|
| 27 |
+
"texts": 6000
|
| 28 |
+
},
|
| 29 |
+
"selected_pilot": {
|
| 30 |
+
"accuracy_at_zero": 0.746,
|
| 31 |
+
"auroc": 0.790496,
|
| 32 |
+
"checkpoint": "/workspace/expanded_raid_ai_20260726/outputs/gemma_locked_pairwise_ce_seed101/pilot/lr_0.001/final",
|
| 33 |
+
"final_rolling_loss": 0.09688073217368583,
|
| 34 |
+
"lr": 0.001,
|
| 35 |
+
"mean_ai_score": 5.69093910741806,
|
| 36 |
+
"mean_human_score": -2.0359047451019285,
|
| 37 |
+
"pairs": 250,
|
| 38 |
+
"steps": 125,
|
| 39 |
+
"texts": 500
|
| 40 |
+
},
|
| 41 |
+
"tokens": "/workspace/expanded_raid_ai_20260726/outputs/gemma_locked_pairwise_ce_seed101/full/final/tokens"
|
| 42 |
+
}
|