Joint training checkpoint step 600
Browse files- README.md +300 -12
- checkpoint.json +5 -5
- metrics.json +299 -11
- 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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@@ -911,23 +911,311 @@ The learning rate warms up for 100 updates, then follows cosine decay to 10% of
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| 911 |
"be920fcb12955d9632155e26b21949389df2a983695f7b812d6c1f241d8abed0",
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"8a4021cc310c779c0fab1f547862d5edc4d335dacfcc8970d6194daa9b0ef780"
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]
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| 914 |
}
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],
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"selection": {
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-
"best_score": 0.
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-
"best_step":
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"bad_checks": 0
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},
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-
"last_conditional_pair_loss": 0.
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-
"peak_gpu_bytes":
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-
"step":
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"learning_rate": 1.
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-
"last_detection_loss":
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"last_correction_loss":
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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":
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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: **600**. This checkpoint is a research baseline, not a validated automatic cleaning system.
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| 14 |
|
| 15 |
## Use and resume
|
| 16 |
|
|
|
|
| 911 |
"be920fcb12955d9632155e26b21949389df2a983695f7b812d6c1f241d8abed0",
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| 912 |
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| 913 |
]
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| 914 |
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},
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{
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| 916 |
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"step": 600,
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"detection_loss": 0.2937781656002035,
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| 918 |
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"correction_loss": 0.6242966749459371,
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| 919 |
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"correction_full_mask_loss": 0.7028284746541525,
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| 920 |
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"correction_partial_mask_loss": 0.5457648752377217,
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| 921 |
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"selection_score": 0.4386797335989273,
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| 922 |
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"examples": 252,
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| 923 |
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"correction_edits": 393,
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| 924 |
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"correction_category_counts": {
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| 925 |
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"consistency.dependency": 23,
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| 926 |
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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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"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": 0.48415713105350733,
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"conditional_pairs": 5,
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"token_and_gap_tp_fp_fn_at_0.9": [
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"sample_ids": [
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| 1171 |
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| 1175 |
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| 1193 |
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| 1195 |
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| 1199 |
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|
| 1201 |
+
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|
| 1202 |
}
|
| 1203 |
],
|
| 1204 |
"selection": {
|
| 1205 |
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|
| 1206 |
+
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| 1207 |
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| 1208 |
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| 1209 |
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| 1210 |
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| 1211 |
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| 1212 |
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| 1213 |
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| 1214 |
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| 1215 |
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| 1216 |
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| 1217 |
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| 1218 |
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| 1219 |
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|
| 1220 |
}
|
| 1221 |
```
|
checkpoint.json
CHANGED
|
@@ -1,19 +1,19 @@
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|
| 1 |
{
|
| 2 |
"version": 1,
|
| 3 |
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| 18 |
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| 19 |
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|
| 1 |
{
|
| 2 |
"version": 1,
|
| 3 |
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|
| 4 |
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| 5 |
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metrics.json
CHANGED
|
@@ -874,22 +874,310 @@
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| 874 |
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| 877 |
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|
| 878 |
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|
| 879 |
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|
| 880 |
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| 881 |
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| 883 |
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| 884 |
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| 885 |
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| 886 |
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| 888 |
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| 890 |
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| 891 |
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| 893 |
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|
| 874 |
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| 877 |
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| 878 |
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| 903 |
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|
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|
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