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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- pykt/assist09/coldstart/pykt-akt-ics1/train_info.json.done +1 -0
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- pykt/assist09/coldstart/pykt-dkt-csN16-s0/train_info.json.done +1 -0
pykt/assist09/coldstart/pykt-akt-ics1/train_info.json.done
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{"train_s": 1028.3, "epochs": 64, "best_epoch": 54, "dev_auc_pykt": 0.7385259024610611, "n_train_users": 1730, "n_train_chunks": 2051, "n_dev_chunks": 509, "batch_size": 64, "seq_len": 200, "n_val_users": 432, "score_s": 1.7, "flip_max_diff": 0.0, "peak_gb": 9.12}
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pykt/assist09/coldstart/pykt-akt-ics2/train_info.json.done
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{"train_s": 420.2, "epochs": 60, "best_epoch": 50, "dev_auc_pykt": 0.75485563258576, "n_train_users": 1730, "n_train_chunks": 2039, "n_dev_chunks": 518, "batch_size": 64, "seq_len": 200, "n_val_users": 432, "score_s": 1.4, "flip_max_diff": 0.0, "peak_gb": 9.14}
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pykt/assist09/coldstart/pykt-atkt-csN128-s1/train_info.json.done
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pykt/assist09/coldstart/pykt-atkt-csN16-s2/train_info.json.done
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pykt/assist09/coldstart/pykt-atkt-csN16-s4/train_info.json.done
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pykt/assist09/coldstart/pykt-atkt-csN8-s2/train_info.json.done
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pykt/assist09/coldstart/pykt-atkt-csNall-s3/train_info.json.done
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pykt/assist09/coldstart/pykt-atktfix-ics2/train_info.json.done
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{"train_s": 130.9, "epochs": 106, "best_epoch": 96, "dev_auc_pykt": 0.7287420403577692, "n_train_users": 1730, "n_train_chunks": 2039, "n_dev_chunks": 518, "batch_size": 256, "seq_len": 200, "n_val_users": 432, "score_s": 0.1, "flip_max_diff": 0.0, "peak_gb": 1.47}
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pykt/assist09/coldstart/pykt-cskt-csN128-s0/train_info.json.done
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{"train_s": 2.3, "epochs": 25, "best_epoch": 15, "dev_auc_pykt": 0.6927899364874154, "n_train_users": 102, "n_train_chunks": 122, "n_dev_chunks": 30, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 4.6, "flip_max_diff": 0.0, "peak_gb": 2.34}
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{"train_s": 4.7, "epochs": 26, "best_epoch": 16, "dev_auc_pykt": 0.7392159227415037, "n_train_users": 102, "n_train_chunks": 119, "n_dev_chunks": 31, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 6.2, "flip_max_diff": 0.0, "peak_gb": 2.28}
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{"train_s": 7.3, "epochs": 32, "best_epoch": 22, "dev_auc_pykt": 0.6883544132113386, "n_train_users": 205, "n_train_chunks": 247, "n_dev_chunks": 64, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 7.0, "flip_max_diff": 0.0, "peak_gb": 4.69}
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{"train_s": 18.9, "epochs": 69, "best_epoch": 59, "dev_auc_pykt": 0.7292681531094405, "n_train_users": 205, "n_train_chunks": 245, "n_dev_chunks": 63, "batch_size": 256, "seq_len": 200, "n_val_users": 51, "score_s": 7.5, "flip_max_diff": 0.0, "peak_gb": 4.66}
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{"train_s": 1.2, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.6269102528480133, "n_train_users": 26, "n_train_chunks": 33, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 4.3, "flip_max_diff": 0.0, "peak_gb": 1.59}
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{"train_s": 1.3, "epochs": 32, "best_epoch": 22, "dev_auc_pykt": 0.5491392278121343, "n_train_users": 26, "n_train_chunks": 32, "n_dev_chunks": 6, "batch_size": 256, "seq_len": 200, "n_val_users": 6, "score_s": 4.8, "flip_max_diff": 0.0, "peak_gb": 1.59}
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{"train_s": 2.0, "epochs": 17, "best_epoch": 7, "dev_auc_pykt": 0.7143149719392505, "n_train_users": 51, "n_train_chunks": 59, "n_dev_chunks": 15, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 6.9, "flip_max_diff": 0.0, "peak_gb": 1.59}
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{"train_s": 2.8, "epochs": 39, "best_epoch": 29, "dev_auc_pykt": 0.6753415814954276, "n_train_users": 51, "n_train_chunks": 59, "n_dev_chunks": 16, "batch_size": 256, "seq_len": 200, "n_val_users": 13, "score_s": 5.9, "flip_max_diff": 0.0, "peak_gb": 1.59}
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{"train_s": 2.2, "epochs": 32, "best_epoch": 22, "dev_auc_pykt": 0.6564912280701755, "n_train_users": 6, "n_train_chunks": 8, "n_dev_chunks": 2, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 7.1, "flip_max_diff": 0.0, "peak_gb": 1.59}
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{"train_s": 1.0, "epochs": 13, "best_epoch": 3, "dev_auc_pykt": 0.744, "n_train_users": 6, "n_train_chunks": 7, "n_dev_chunks": 2, "batch_size": 256, "seq_len": 200, "n_val_users": 2, "score_s": 7.1, "flip_max_diff": 0.0, "peak_gb": 1.61}
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{"train_s": 61.4, "epochs": 27, "best_epoch": 17, "dev_auc_pykt": 0.7752497198028994, "n_train_users": 1730, "n_train_chunks": 2164, "n_dev_chunks": 552, "batch_size": 256, "seq_len": 200, "n_val_users": 432, "score_s": 6.5, "flip_max_diff": 0.0, "peak_gb": 4.86}
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pykt/assist09/coldstart/pykt-cskt-csNall-s4/train_info.json.done
ADDED
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| 1 |
+
{"train_s": 56.9, "epochs": 26, "best_epoch": 16, "dev_auc_pykt": 0.7683918664280733, "n_train_users": 1730, "n_train_chunks": 2151, "n_dev_chunks": 565, "batch_size": 256, "seq_len": 200, "n_val_users": 432, "score_s": 6.5, "flip_max_diff": 0.0, "peak_gb": 4.86}
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pykt/assist09/coldstart/pykt-cskt-ics0/train_info.json.done
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| 1 |
+
{"train_s": 63.3, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.7688049013961913, "n_train_users": 1730, "n_train_chunks": 2066, "n_dev_chunks": 500, "batch_size": 256, "seq_len": 200, "n_val_users": 432, "score_s": 0.4, "flip_max_diff": 0.0, "peak_gb": 4.86}
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pykt/assist09/coldstart/pykt-cskt-ics1/train_info.json.done
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| 1 |
+
{"train_s": 60.7, "epochs": 28, "best_epoch": 18, "dev_auc_pykt": 0.7507731950747483, "n_train_users": 1730, "n_train_chunks": 2051, "n_dev_chunks": 509, "batch_size": 256, "seq_len": 200, "n_val_users": 432, "score_s": 0.4, "flip_max_diff": 0.0, "peak_gb": 4.86}
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pykt/assist09/coldstart/pykt-deep_irt-csN128-s1/train_info.json.done
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| 1 |
+
{"train_s": 5.6, "epochs": 30, "best_epoch": 20, "dev_auc_pykt": 0.6994487206157687, "n_train_users": 102, "n_train_chunks": 127, "n_dev_chunks": 28, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 9.4, "flip_max_diff": 0.0, "peak_gb": 2.64}
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pykt/assist09/coldstart/pykt-deep_irt-csN128-s2/train_info.json.done
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| 1 |
+
{"train_s": 5.0, "epochs": 23, "best_epoch": 13, "dev_auc_pykt": 0.7247256900101645, "n_train_users": 102, "n_train_chunks": 116, "n_dev_chunks": 39, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 10.1, "flip_max_diff": 0.0, "peak_gb": 2.64}
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pykt/assist09/coldstart/pykt-deep_irt-csN128-s4/train_info.json.done
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| 1 |
+
{"train_s": 10.0, "epochs": 45, "best_epoch": 35, "dev_auc_pykt": 0.7110369392973462, "n_train_users": 102, "n_train_chunks": 119, "n_dev_chunks": 31, "batch_size": 64, "seq_len": 200, "n_val_users": 26, "score_s": 7.8, "flip_max_diff": 0.0, "peak_gb": 2.64}
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pykt/assist09/coldstart/pykt-deep_irt-csN16-s1/train_info.json.done
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| 1 |
+
{"train_s": 2.0, "epochs": 25, "best_epoch": 15, "dev_auc_pykt": 0.6099105812220567, "n_train_users": 13, "n_train_chunks": 18, "n_dev_chunks": 4, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 8.5, "flip_max_diff": 0.0, "peak_gb": 1.09}
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pykt/assist09/coldstart/pykt-deep_irt-csN16-s3/train_info.json.done
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| 1 |
+
{"train_s": 1.2, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.41515687140963314, "n_train_users": 13, "n_train_chunks": 16, "n_dev_chunks": 3, "batch_size": 64, "seq_len": 200, "n_val_users": 3, "score_s": 8.5, "flip_max_diff": 0.0, "peak_gb": 1.09}
|
pykt/assist09/coldstart/pykt-deep_irt-csN256-s0/train_info.json.done
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| 1 |
+
{"train_s": 23.1, "epochs": 29, "best_epoch": 19, "dev_auc_pykt": 0.740609096266138, "n_train_users": 205, "n_train_chunks": 246, "n_dev_chunks": 66, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 17.4, "flip_max_diff": 0.0, "peak_gb": 2.64}
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pykt/assist09/coldstart/pykt-deep_irt-csN256-s1/train_info.json.done
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| 1 |
+
{"train_s": 10.5, "epochs": 23, "best_epoch": 13, "dev_auc_pykt": 0.6844002147221888, "n_train_users": 205, "n_train_chunks": 247, "n_dev_chunks": 64, "batch_size": 64, "seq_len": 200, "n_val_users": 51, "score_s": 11.8, "flip_max_diff": 0.0, "peak_gb": 2.64}
|
pykt/assist09/coldstart/pykt-deep_irt-csN32-s0/train_info.json.done
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| 1 |
+
{"train_s": 4.6, "epochs": 25, "best_epoch": 15, "dev_auc_pykt": 0.6654626285079189, "n_train_users": 26, "n_train_chunks": 33, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 16.9, "flip_max_diff": 0.0, "peak_gb": 1.37}
|
pykt/assist09/coldstart/pykt-deep_irt-csN32-s2/train_info.json.done
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| 1 |
+
{"train_s": 1.5, "epochs": 18, "best_epoch": 8, "dev_auc_pykt": 0.7448652118100129, "n_train_users": 26, "n_train_chunks": 28, "n_dev_chunks": 6, "batch_size": 64, "seq_len": 200, "n_val_users": 6, "score_s": 10.2, "flip_max_diff": 0.0, "peak_gb": 1.16}
|
pykt/assist09/coldstart/pykt-deep_irt-csN64-s0/train_info.json.done
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| 1 |
+
{"train_s": 3.4, "epochs": 16, "best_epoch": 6, "dev_auc_pykt": 0.5759478021978022, "n_train_users": 51, "n_train_chunks": 60, "n_dev_chunks": 16, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 13.2, "flip_max_diff": 0.0, "peak_gb": 2.48}
|
pykt/assist09/coldstart/pykt-deep_irt-csN64-s2/train_info.json.done
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| 1 |
+
{"train_s": 3.3, "epochs": 31, "best_epoch": 21, "dev_auc_pykt": 0.6979333457456712, "n_train_users": 51, "n_train_chunks": 59, "n_dev_chunks": 15, "batch_size": 64, "seq_len": 200, "n_val_users": 13, "score_s": 8.7, "flip_max_diff": 0.0, "peak_gb": 2.44}
|
pykt/assist09/coldstart/pykt-deep_irt-csN8-s4/train_info.json.done
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| 1 |
+
{"train_s": 1.2, "epochs": 14, "best_epoch": 4, "dev_auc_pykt": 0.49715909090909083, "n_train_users": 6, "n_train_chunks": 6, "n_dev_chunks": 2, "batch_size": 64, "seq_len": 200, "n_val_users": 2, "score_s": 7.9, "flip_max_diff": 0.0, "peak_gb": 1.09}
|
pykt/assist09/coldstart/pykt-deep_irt-csNall-s0/train_info.json.done
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|
|
|
|
|
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| 1 |
+
{"train_s": 137.9, "epochs": 49, "best_epoch": 39, "dev_auc_pykt": 0.7410961588637539, "n_train_users": 1730, "n_train_chunks": 2191, "n_dev_chunks": 525, "batch_size": 64, "seq_len": 200, "n_val_users": 432, "score_s": 9.5, "flip_max_diff": 0.0, "peak_gb": 2.64}
|
pykt/assist09/coldstart/pykt-dkt-csN128-s0/train_info.json.done
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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": 1.0, "epochs": 36, "best_epoch": 26, "dev_auc_pykt": 0.6810416474282021, "n_train_users": 102, "n_train_chunks": 122, "n_dev_chunks": 30, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 2.1, "flip_max_diff": 0.0, "peak_gb": 0.39}
|
pykt/assist09/coldstart/pykt-dkt-csN128-s1/train_info.json.done
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|
|
|
|
|
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| 1 |
+
{"train_s": 1.8, "epochs": 33, "best_epoch": 23, "dev_auc_pykt": 0.7095604624208743, "n_train_users": 102, "n_train_chunks": 127, "n_dev_chunks": 28, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 2.5, "flip_max_diff": 0.0, "peak_gb": 0.39}
|
pykt/assist09/coldstart/pykt-dkt-csN128-s2/train_info.json.done
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|
|
|
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| 1 |
+
{"train_s": 1.9, "epochs": 34, "best_epoch": 24, "dev_auc_pykt": 0.6726285638367864, "n_train_users": 102, "n_train_chunks": 116, "n_dev_chunks": 39, "batch_size": 256, "seq_len": 200, "n_val_users": 26, "score_s": 2.5, "flip_max_diff": 0.0, "peak_gb": 0.39}
|
pykt/assist09/coldstart/pykt-dkt-csN16-s0/train_info.json.done
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@@ -0,0 +1 @@
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|
|
|
|
|
|
| 1 |
+
{"train_s": 0.3, "epochs": 18, "best_epoch": 8, "dev_auc_pykt": 0.5862121623455953, "n_train_users": 13, "n_train_chunks": 19, "n_dev_chunks": 4, "batch_size": 256, "seq_len": 200, "n_val_users": 3, "score_s": 1.9, "flip_max_diff": 0.0, "peak_gb": 0.39}
|