Instructions to use LEAP-LAB-KUS/jevkt-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LEAP-LAB-KUS/jevkt-checkpoints with PEFT:
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- Notebooks
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- pykt/synth_l/coldstart/pykt-cskt-csN32-s3/train_info.json.done +1 -0
pykt/synth_l/coldstart/pykt-akt-ics0/train_info.json.done
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{"train_s": 531.9, "epochs": 79, "best_epoch": 69, "dev_auc_pykt": 0.912753110589606, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 7.7, "flip_max_diff": 0.0, "peak_gb": 9.11}
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pykt/synth_l/coldstart/pykt-akt-ics1/train_info.json.done
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{"train_s": 249.5, "epochs": 88, "best_epoch": 78, "dev_auc_pykt": 0.9063913858566394, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 2.2, "flip_max_diff": 0.0, "peak_gb": 9.14}
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pykt/synth_l/coldstart/pykt-akt-ics2/train_info.json.done
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pykt/synth_l/coldstart/pykt-atdkt-ics1/train_info.json.done
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pykt/synth_l/coldstart/pykt-atkt-csN128-s1/train_info.json.done
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pykt/synth_l/coldstart/pykt-atkt-csN128-s3/train_info.json.done
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{"train_s": 3.8, "epochs": 36, "best_epoch": 26, "dev_auc_pykt": 0.6501994787964938, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 2.2, "flip_max_diff": 0.0, "peak_gb": 0.35}
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pykt/synth_l/coldstart/pykt-atkt-csN16-s0/train_info.json.done
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pykt/synth_l/coldstart/pykt-atkt-csN16-s4/train_info.json.done
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{"train_s": 8.8, "epochs": 42, "best_epoch": 32, "dev_auc_pykt": 0.6851378362943183, "n_train_users": 205, "n_train_chunks": 205, "n_dev_chunks": 51, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 1.9, "flip_max_diff": 0.0, "peak_gb": 0.35}
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pykt/synth_l/coldstart/pykt-atkt-csN256-s4/train_info.json.done
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{"train_s": 7.5, "epochs": 37, "best_epoch": 27, "dev_auc_pykt": 0.6807094017094018, "n_train_users": 205, "n_train_chunks": 205, "n_dev_chunks": 51, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 2.8, "flip_max_diff": 0.0, "peak_gb": 0.35}
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{"train_s": 1.5, "epochs": 37, "best_epoch": 27, "dev_auc_pykt": 0.6114836250705816, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 1.9, "flip_max_diff": 0.0, "peak_gb": 0.21}
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pykt/synth_l/coldstart/pykt-atkt-csN32-s3/train_info.json.done
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{"train_s": 1.0, "epochs": 22, "best_epoch": 12, "dev_auc_pykt": 0.6245880026367832, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 2.1, "flip_max_diff": 0.0, "peak_gb": 0.21}
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{"train_s": 0.6, "epochs": 12, "best_epoch": 2, "dev_auc_pykt": 0.6267286055691308, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 1.9, "flip_max_diff": 0.0, "peak_gb": 0.21}
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{"train_s": 1.1, "epochs": 20, "best_epoch": 10, "dev_auc_pykt": 0.6854614529280949, "n_train_users": 51, "n_train_chunks": 51, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 2.1, "flip_max_diff": 0.0, "peak_gb": 0.28}
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{"train_s": 2.3, "epochs": 38, "best_epoch": 28, "dev_auc_pykt": 0.6295950240748572, "n_train_users": 51, "n_train_chunks": 51, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 2.2, "flip_max_diff": 0.0, "peak_gb": 0.28}
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{"train_s": 1.5, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.6784297052154195, "n_train_users": 51, "n_train_chunks": 51, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 1.9, "flip_max_diff": 0.0, "peak_gb": 0.28}
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{"train_s": 0.9, "epochs": 16, "best_epoch": 6, "dev_auc_pykt": 0.6552239271457085, "n_train_users": 51, "n_train_chunks": 51, "n_dev_chunks": 13, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 2.0, "flip_max_diff": 0.0, "peak_gb": 0.28}
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{"train_s": 1.9, "epochs": 25, "best_epoch": 15, "dev_auc_pykt": 0.7445945945945946, "n_train_users": 6, "n_train_chunks": 6, "n_dev_chunks": 2, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 2.4, "flip_max_diff": 0.0, "peak_gb": 0.21}
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{"train_s": 1.3, "epochs": 15, "best_epoch": 5, "dev_auc_pykt": 0.6820349761526232, "n_train_users": 6, "n_train_chunks": 6, "n_dev_chunks": 2, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 2.9, "flip_max_diff": 0.0, "peak_gb": 0.21}
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{"train_s": 24.6, "epochs": 46, "best_epoch": 36, "dev_auc_pykt": 0.6986431494881027, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 2.8, "flip_max_diff": 0.0, "peak_gb": 0.35}
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{"train_s": 19.8, "epochs": 36, "best_epoch": 26, "dev_auc_pykt": 0.6951320332806168, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 2.6, "flip_max_diff": 0.0, "peak_gb": 0.35}
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{"train_s": 18.2, "epochs": 35, "best_epoch": 25, "dev_auc_pykt": 0.7020912969904024, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 2.6, "flip_max_diff": 0.0, "peak_gb": 0.35}
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{"train_s": 26.3, "epochs": 47, "best_epoch": 37, "dev_auc_pykt": 0.6976538358646255, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 2.7, "flip_max_diff": 0.0, "peak_gb": 0.35}
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pykt/synth_l/coldstart/pykt-atkt-ics0/train_info.json.done
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"train_s": 26.6, "epochs": 41, "best_epoch": 31, "dev_auc_pykt": 0.6979607470732826, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 0.4, "flip_max_diff": 0.0, "peak_gb": 0.35}
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pykt/synth_l/coldstart/pykt-atkt-ics1/train_info.json.done
ADDED
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| 1 |
+
{"train_s": 26.0, "epochs": 40, "best_epoch": 30, "dev_auc_pykt": 0.69923771947137, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 64, "seq_len": 200, "n_val_users": 144, "score_s": 0.3, "flip_max_diff": 0.0, "peak_gb": 0.35}
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pykt/synth_l/coldstart/pykt-atktfix-ics1/train_info.json.done
ADDED
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| 1 |
+
{"train_s": 10.2, "epochs": 12, "best_epoch": 2, "dev_auc_pykt": 0.6379323300917905, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 256, "seq_len": 200, "n_val_users": 144, "score_s": 0.7, "flip_max_diff": 0.0, "peak_gb": 1.41}
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pykt/synth_l/coldstart/pykt-atktfix-ics2/train_info.json.done
ADDED
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| 1 |
+
{"train_s": 24.5, "epochs": 70, "best_epoch": 60, "dev_auc_pykt": 0.651831918254229, "n_train_users": 576, "n_train_chunks": 576, "n_dev_chunks": 144, "batch_size": 256, "seq_len": 200, "n_val_users": 144, "score_s": 0.1, "flip_max_diff": 0.0, "peak_gb": 1.41}
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pykt/synth_l/coldstart/pykt-cskt-csN128-s0/train_info.json.done
ADDED
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| 1 |
+
{"train_s": 7.7, "epochs": 90, "best_epoch": 80, "dev_auc_pykt": 0.8882552313586796, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 2.7, "flip_max_diff": 0.0, "peak_gb": 1.93}
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pykt/synth_l/coldstart/pykt-cskt-csN128-s1/train_info.json.done
ADDED
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| 1 |
+
{"train_s": 11.2, "epochs": 95, "best_epoch": 85, "dev_auc_pykt": 0.8814206115091072, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 3.8, "flip_max_diff": 0.0, "peak_gb": 1.93}
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pykt/synth_l/coldstart/pykt-cskt-csN128-s2/train_info.json.done
ADDED
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| 1 |
+
{"train_s": 1.9, "epochs": 16, "best_epoch": 6, "dev_auc_pykt": 0.6550221753316532, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 2.9, "flip_max_diff": 0.0, "peak_gb": 1.93}
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pykt/synth_l/coldstart/pykt-cskt-csN128-s4/train_info.json.done
ADDED
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| 1 |
+
{"train_s": 14.8, "epochs": 121, "best_epoch": 111, "dev_auc_pykt": 0.8814640583760285, "n_train_users": 102, "n_train_chunks": 102, "n_dev_chunks": 26, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 3.5, "flip_max_diff": 0.0, "peak_gb": 1.93}
|
pykt/synth_l/coldstart/pykt-cskt-csN16-s0/train_info.json.done
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"train_s": 2.3, "epochs": 86, "best_epoch": 76, "dev_auc_pykt": 0.8734253875968991, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 2.6, "flip_max_diff": 0.0, "peak_gb": 1.58}
|
pykt/synth_l/coldstart/pykt-cskt-csN16-s1/train_info.json.done
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"train_s": 6.0, "epochs": 103, "best_epoch": 93, "dev_auc_pykt": 0.8581235697940504, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 3.7, "flip_max_diff": 0.0, "peak_gb": 1.58}
|
pykt/synth_l/coldstart/pykt-cskt-csN16-s2/train_info.json.done
ADDED
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| 1 |
+
{"train_s": 0.3, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.6573020664035292, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 2.6, "flip_max_diff": 0.0, "peak_gb": 1.58}
|
pykt/synth_l/coldstart/pykt-cskt-csN16-s3/train_info.json.done
ADDED
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| 1 |
+
{"train_s": 2.4, "epochs": 61, "best_epoch": 51, "dev_auc_pykt": 0.6938549035927313, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 2.9, "flip_max_diff": 0.0, "peak_gb": 1.58}
|
pykt/synth_l/coldstart/pykt-cskt-csN16-s4/train_info.json.done
ADDED
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@@ -0,0 +1 @@
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|
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|
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|
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| 1 |
+
{"train_s": 0.6, "epochs": 11, "best_epoch": 1, "dev_auc_pykt": 0.5507373981950253, "n_train_users": 13, "n_train_chunks": 13, "n_dev_chunks": 3, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 4.4, "flip_max_diff": 0.0, "peak_gb": 1.58}
|
pykt/synth_l/coldstart/pykt-cskt-csN256-s1/train_info.json.done
ADDED
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| 1 |
+
{"train_s": 26.3, "epochs": 121, "best_epoch": 111, "dev_auc_pykt": 0.9081976947643099, "n_train_users": 205, "n_train_chunks": 205, "n_dev_chunks": 51, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 3.9, "flip_max_diff": 0.0, "peak_gb": 3.87}
|
pykt/synth_l/coldstart/pykt-cskt-csN256-s3/train_info.json.done
ADDED
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@@ -0,0 +1 @@
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|
|
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| 1 |
+
{"train_s": 25.2, "epochs": 120, "best_epoch": 110, "dev_auc_pykt": 0.9034348486067784, "n_train_users": 205, "n_train_chunks": 205, "n_dev_chunks": 51, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 3.6, "flip_max_diff": 0.0, "peak_gb": 3.87}
|
pykt/synth_l/coldstart/pykt-cskt-csN256-s4/train_info.json.done
ADDED
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@@ -0,0 +1 @@
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|
|
|
|
|
|
| 1 |
+
{"train_s": 27.6, "epochs": 113, "best_epoch": 103, "dev_auc_pykt": 0.9078357075023742, "n_train_users": 205, "n_train_chunks": 205, "n_dev_chunks": 51, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 3.8, "flip_max_diff": 0.0, "peak_gb": 3.87}
|
pykt/synth_l/coldstart/pykt-cskt-csN32-s0/train_info.json.done
ADDED
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@@ -0,0 +1 @@
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|
|
|
|
|
| 1 |
+
{"train_s": 3.3, "epochs": 96, "best_epoch": 86, "dev_auc_pykt": 0.8750396825396825, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 2.7, "flip_max_diff": 0.0, "peak_gb": 1.58}
|
pykt/synth_l/coldstart/pykt-cskt-csN32-s1/train_info.json.done
ADDED
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@@ -0,0 +1 @@
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|
|
|
|
|
|
| 1 |
+
{"train_s": 3.8, "epochs": 86, "best_epoch": 76, "dev_auc_pykt": 0.8535260115606937, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 3.1, "flip_max_diff": 0.0, "peak_gb": 1.58}
|
pykt/synth_l/coldstart/pykt-cskt-csN32-s2/train_info.json.done
ADDED
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@@ -0,0 +1 @@
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|
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|
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|
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| 1 |
+
{"train_s": 4.3, "epochs": 101, "best_epoch": 91, "dev_auc_pykt": 0.8639186900056467, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 3.2, "flip_max_diff": 0.0, "peak_gb": 1.58}
|
pykt/synth_l/coldstart/pykt-cskt-csN32-s3/train_info.json.done
ADDED
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@@ -0,0 +1 @@
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|
|
|
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|
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| 1 |
+
{"train_s": 0.9, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.6625466930344979, "n_train_users": 26, "n_train_chunks": 26, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 3.0, "flip_max_diff": 0.0, "peak_gb": 1.58}
|