teru00801 commited on
Commit
c2842aa
·
verified ·
1 Parent(s): 19fcf2e

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -50,3 +50,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
50
  20260305_160843/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
51
  20260305_234210/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
52
  20260305_234210/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
 
 
 
50
  20260305_160843/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
51
  20260305_234210/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
52
  20260305_234210/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
53
+ 20260306_014907/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
54
+ 20260306_014907/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
20260306_014907/analysis_bundle/cartography/summary.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epochs": 8,
3
+ "task1_rows": 17206,
4
+ "task1_lowmean_threshold": 0.16888283714652066,
5
+ "task1_suspects": 87,
6
+ "plot_saved": true
7
+ }
20260306_014907/analysis_bundle/cartography/task1_cartography.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7fd5f8f85a2a24921a69fd49d72b86fe7e0baebaa8b1f5718da04e763226b4cc
3
+ size 62154821
20260306_014907/analysis_bundle/cartography/task1_cartography.png ADDED

Git LFS Details

  • SHA256: 63e6592daa93d4c738662ccee941edbdef0127b0e0b8fd4df208fea328cfdb5e
  • Pointer size: 131 Bytes
  • Size of remote file: 269 kB
20260306_014907/analysis_bundle/metrics/metrics.jsonl ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {"epoch": 1, "train_loss": 0.24519023087678898, "acc": 0.8249088066701407, "f1": 0.7698630136986301, "precision": 0.6343115124153499, "recall": 0.9790940766550522, "selection_score": 0.7236155228978588, "score": 0.7236155228978588}
2
+ {"epoch": 2, "train_loss": 0.14290000763150507, "acc": 0.8165711307972903, "f1": 0.7631224764468372, "precision": 0.6217105263157895, "recall": 0.9878048780487805, "selection_score": 0.71231126615616, "score": 0.71231126615616}
3
+ {"epoch": 3, "train_loss": 0.10961224076417742, "acc": 0.8608650338718082, "f1": 0.8077753779697624, "precision": 0.6883435582822086, "recall": 0.9773519163763066, "selection_score": 0.7746551452773149, "score": 0.7746551452773149}
4
+ {"epoch": 4, "train_loss": 0.09639132064403655, "acc": 0.8619072433559145, "f1": 0.8052902277736959, "precision": 0.6963151207115629, "recall": 0.9547038327526133, "selection_score": 0.7792587152037979, "score": 0.7792587152037979}
5
+ {"epoch": 5, "train_loss": 0.08462939828938933, "acc": 0.8863991662324127, "f1": 0.823051948051948, "precision": 0.770516717325228, "recall": 0.8832752613240418, "selection_score": 0.7572554509075968, "score": 0.7572554509075968}
6
+ {"epoch": 6, "train_loss": 0.07214249556600272, "acc": 0.8983845752996352, "f1": 0.8418491484184915, "precision": 0.787556904400607, "recall": 0.9041811846689896, "selection_score": 0.8533304437182528, "score": 0.8533304437182528}
7
+ {"epoch": 7, "train_loss": 0.06740040975003105, "acc": 0.863470557582074, "f1": 0.8079178885630498, "precision": 0.6974683544303798, "recall": 0.9599303135888502, "selection_score": 0.7809882038298268, "score": 0.7809882038298268}
8
+ {"epoch": 8, "train_loss": 0.06628653641139265, "acc": 0.8910891089108911, "f1": 0.835820895522388, "precision": 0.7610872675250357, "recall": 0.926829268292683, "selection_score": 0.8338719628639422, "score": 0.8338719628639422}
20260306_014907/analysis_bundle/predictions/final_eval_predictions.csv ADDED
The diff for this file is too large to render. See raw diff
 
20260306_014907/analysis_bundle/predictions/final_eval_predictions_evalonly.csv ADDED
The diff for this file is too large to render. See raw diff
 
20260306_014907/analysis_bundle/summaries/final_eval_summary.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ dataset,rows_evaluated,acc,f1,precision,recall,always_pick_acc,always_decline_acc
2
+ data_for_deberta/dedup_split/risk_test.csv,2879,0.9051754081278222,0.8455008488964346,0.7830188679245284,0.9188191881918819,0.28238971865230983,0.7176102813476901
20260306_014907/analysis_bundle/summaries/final_eval_summary_evalonly.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ run_dir,model_path,dataset,rows_raw,rows_evaluated,acc,f1,precision,recall,always_pick_acc,always_decline_acc
2
+ outputs/task1_binary_runs/20260306_014907,outputs/task1_binary_runs/20260306_014907/best_model.pt,data_for_deberta/dedup_split/risk_test.csv,2879,2879,0.9051754081278222,0.8455008488964346,0.7830188679245284,0.9188191881918819,0.28238971865230983,0.7176102813476901
20260306_014907/analysis_bundle/summaries/summary.json ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_epoch": 6,
3
+ "best_score": 0.8533304437182528,
4
+ "best_selection_score": 0.8533304437182528,
5
+ "best_val_metrics_at_selection": {
6
+ "acc": 0.8983845752996352,
7
+ "f1": 0.8418491484184915,
8
+ "precision": 0.787556904400607,
9
+ "recall": 0.9041811846689896
10
+ },
11
+ "model_selection": {
12
+ "metric": "recall-floor-constrained-fbeta",
13
+ "beta": 0.5,
14
+ "recall_floor": 0.9,
15
+ "recall_floor_penalty": 2.0,
16
+ "acc_weight": 0.05
17
+ },
18
+ "data_provenance": {
19
+ "train_csv": {
20
+ "path": "data_for_deberta/Risk-only-pick/task1_risk_training_20260225.csv",
21
+ "sha256_16": "149b65cfd4785835",
22
+ "size_bytes": 61496472
23
+ },
24
+ "val_csv_source": {
25
+ "path": "data_for_deberta/dedup_split/risk_val.csv",
26
+ "sha256_16": "61c445d1558d1b34",
27
+ "size_bytes": 6044780
28
+ },
29
+ "final_eval_csv": {
30
+ "path": "data_for_deberta/dedup_split/risk_test.csv",
31
+ "sha256_16": "7bb9f6e80cd447ae",
32
+ "size_bytes": 9345127
33
+ }
34
+ },
35
+ "train_rows": 17206,
36
+ "val_rows": 1919,
37
+ "final_eval_rows": 2879,
38
+ "val_metrics": {
39
+ "acc": 0.8983845752996352,
40
+ "f1": 0.8418491484184915,
41
+ "precision": 0.787556904400607,
42
+ "recall": 0.9041811846689896
43
+ },
44
+ "final_eval_metrics": {
45
+ "acc": 0.9051754081278222,
46
+ "f1": 0.8455008488964346,
47
+ "precision": 0.7830188679245284,
48
+ "recall": 0.9188191881918819
49
+ },
50
+ "final_eval_baseline": {
51
+ "always_pick_acc": 0.28238971865230983,
52
+ "always_decline_acc": 0.7176102813476901
53
+ }
54
+ }