Joint training checkpoint step 1400
Browse files- README.md +298 -10
- checkpoint.json +5 -5
- metrics.json +297 -9
- model.safetensors +1 -1
- training_state.pt +1 -1
README.md
CHANGED
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@@ -10,7 +10,7 @@ tags: [tabular-data, masked-lm, token-classification, experimental]
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Experimental budget-limited mmBERT-base joint fine-tuning checkpoint.
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One shared encoder, 18 category BIO outputs, insertion outputs, and the pretrained MLM vocabulary head. Correction is trained in place: the selected corrupted span is replaced by a variable length mask buffer inside its original cell, with no appended JSON request. The MLM head emits replacement tokens followed by `END_EDIT` and visible padding tokens.
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-
Completed optimizer updates: **
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## Use and resume
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@@ -2063,23 +2063,311 @@ The learning rate warms up for 100 updates, then follows cosine decay to 10% of
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"be920fcb12955d9632155e26b21949389df2a983695f7b812d6c1f241d8abed0",
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"8a4021cc310c779c0fab1f547862d5edc4d335dacfcc8970d6194daa9b0ef780"
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]
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| 2066 |
}
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],
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"selection": {
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"best_score": 0.31016697395866377,
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"best_step": 800,
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-
"bad_checks":
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},
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-
"last_conditional_pair_loss":
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"peak_gpu_bytes": 7446971392,
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-
"step":
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"learning_rate":
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"last_detection_loss": 0.
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-
"last_correction_loss": 0.
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"training_elapsed_seconds":
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"exclusions": {},
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-
"mean_detection_loss": 0.
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-
"mean_correction_loss": 0.
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"loss_interval_updates": 10
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}
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```
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| 10 |
Experimental budget-limited mmBERT-base joint fine-tuning checkpoint.
|
| 11 |
|
| 12 |
One shared encoder, 18 category BIO outputs, insertion outputs, and the pretrained MLM vocabulary head. Correction is trained in place: the selected corrupted span is replaced by a variable length mask buffer inside its original cell, with no appended JSON request. The MLM head emits replacement tokens followed by `END_EDIT` and visible padding tokens.
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| 13 |
+
Completed optimizer updates: **1400**. This checkpoint is a research baseline, not a validated automatic cleaning system.
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| 14 |
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| 15 |
## Use and resume
|
| 16 |
|
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| 2063 |
"be920fcb12955d9632155e26b21949389df2a983695f7b812d6c1f241d8abed0",
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| 2064 |
"8a4021cc310c779c0fab1f547862d5edc4d335dacfcc8970d6194daa9b0ef780"
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]
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+
},
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{
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"step": 1400,
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"detection_loss": 0.2689887647330391,
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"correction_loss": 0.39354991028452446,
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"correction_full_mask_loss": 0.4281920024280378,
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"correction_partial_mask_loss": 0.35890781814101114,
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"selection_score": 0.36033315494771234,
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+
"examples": 252,
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+
"correction_edits": 393,
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+
"correction_category_counts": {
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+
"consistency.dependency": 23,
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"format.boolean": 51,
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"format.date": 40,
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"schema.category": 49,
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"schema.identifier": 50,
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"schema.type": 41,
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"consistency.temporal": 15,
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"consistency.unit": 4,
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"format.case": 19,
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"format.number": 18,
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"format.unit": 19,
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"format.whitespace": 19,
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"text.spelling": 18,
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"text.invisible": 15,
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"text.encoding": 12
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},
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"conditional_pair_loss": 0.00014058201195439325,
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"conditional_pairs": 5,
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"token_and_gap_tp_fp_fn_at_0.9": [
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831,
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70,
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168
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],
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"sample_ids": [
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| 2318 |
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| 2319 |
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| 2320 |
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| 2322 |
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|
| 2323 |
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| 2324 |
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| 2325 |
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| 2326 |
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|
| 2327 |
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| 2328 |
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| 2329 |
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|
| 2330 |
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| 2338 |
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|
| 2339 |
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|
| 2340 |
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|
| 2341 |
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| 2342 |
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| 2343 |
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|
| 2344 |
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|
| 2345 |
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|
| 2346 |
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|
| 2347 |
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|
| 2348 |
+
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|
| 2349 |
+
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|
| 2350 |
+
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|
| 2351 |
+
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|
| 2352 |
+
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|
| 2353 |
+
]
|
| 2354 |
}
|
| 2355 |
],
|
| 2356 |
"selection": {
|
| 2357 |
"best_score": 0.31016697395866377,
|
| 2358 |
"best_step": 800,
|
| 2359 |
+
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|
| 2360 |
},
|
| 2361 |
+
"last_conditional_pair_loss": 4.7715508117107674e-05,
|
| 2362 |
"peak_gpu_bytes": 7446971392,
|
| 2363 |
+
"step": 1400,
|
| 2364 |
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|
| 2365 |
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|
| 2366 |
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|
| 2367 |
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|
| 2368 |
"exclusions": {},
|
| 2369 |
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|
| 2370 |
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"mean_correction_loss": 0.1242886986972735,
|
| 2371 |
"loss_interval_updates": 10
|
| 2372 |
}
|
| 2373 |
```
|
checkpoint.json
CHANGED
|
@@ -1,19 +1,19 @@
|
|
| 1 |
{
|
| 2 |
"version": 1,
|
| 3 |
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"step":
|
| 4 |
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|
| 5 |
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|
| 6 |
"files": {
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| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
"tokenizer.json": "47e408472c05385fea5fb9f8b02bbd838d55da8f15a22c863a99fd31d89243f5",
|
| 11 |
-
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|
| 12 |
"run_config.json": "eec4d8db620354de7883275f2c7282ee3bdd72328c3ff829001e248aeea49962",
|
| 13 |
-
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|
| 14 |
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|
| 15 |
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|
| 16 |
-
"README.md": "
|
| 17 |
"LICENSE": "b6c1c7bb5aae03bb6b3396fc7c65cbe7306c422ed424b0b7b687d9a50cc15412",
|
| 18 |
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|
| 19 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"version": 1,
|
| 3 |
+
"step": 1400,
|
| 4 |
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|
| 5 |
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|
| 6 |
"files": {
|
| 7 |
+
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
+
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|
| 12 |
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|
| 13 |
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"metrics.json": "942c2c676ec1ff5b0397a4be426c12e90c9ac87722160dc112b82ef4d0597b5c",
|
| 14 |
"categories.json": "d95af1bcb70bc78d53297d4e57909776773fff76329098ece751e0734f03b29b",
|
| 15 |
"train_tabfix.py": "8712d7afc651f2d3c55210f3a062ad6a19a94b6185b60d8b5593cacbdf31f7be",
|
| 16 |
+
"README.md": "9bcea147229642da47fdd78057b6c55035c8a71ff09647453452c3bf53d69267",
|
| 17 |
"LICENSE": "b6c1c7bb5aae03bb6b3396fc7c65cbe7306c422ed424b0b7b687d9a50cc15412",
|
| 18 |
"BASE_MODEL_CARD.md": "35724415037ee3159aa733c16050620cc19a76219112a6ceeb3949572e0b37e9"
|
| 19 |
},
|
metrics.json
CHANGED
|
@@ -2026,22 +2026,310 @@
|
|
| 2026 |
"be920fcb12955d9632155e26b21949389df2a983695f7b812d6c1f241d8abed0",
|
| 2027 |
"8a4021cc310c779c0fab1f547862d5edc4d335dacfcc8970d6194daa9b0ef780"
|
| 2028 |
]
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|
|
|
|
|
|
|
| 2029 |
}
|
| 2030 |
],
|
| 2031 |
"selection": {
|
| 2032 |
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|
| 2033 |
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|
| 2034 |
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|
| 2035 |
},
|
| 2036 |
-
"last_conditional_pair_loss":
|
| 2037 |
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|
| 2038 |
-
"step":
|
| 2039 |
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|
| 2040 |
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|
| 2041 |
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|
| 2042 |
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|
| 2043 |
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|
| 2044 |
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|
| 2045 |
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|
| 2046 |
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|
| 2047 |
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|
|
|
| 2026 |
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|
| 2027 |
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|
| 2028 |
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|
| 2029 |
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|
| 2030 |
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|
| 2031 |
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|
| 2032 |
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|
| 2033 |
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|
| 2034 |
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|
| 2035 |
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|
| 2036 |
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|
| 2037 |
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|
| 2038 |
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|
| 2039 |
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|
| 2040 |
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|
| 2041 |
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|
| 2042 |
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|
| 2043 |
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|
| 2044 |
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|
| 2045 |
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|
| 2046 |
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|
| 2047 |
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|
| 2048 |
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|
| 2049 |
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|
| 2050 |
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|
| 2051 |
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|
| 2052 |
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|
| 2053 |
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|
| 2054 |
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|
| 2055 |
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|
| 2056 |
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|
| 2057 |
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|
| 2058 |
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"token_and_gap_tp_fp_fn_at_0.9": [
|
| 2059 |
+
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|
| 2060 |
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|
| 2061 |
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|
| 2062 |
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|
| 2063 |
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|
| 2064 |
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|
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|
| 2067 |
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|
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