Archive DIAL node nodes/vavvi
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +8 -0
- nodes/vavvi/.pipeline_failed +1 -0
- nodes/vavvi/aoa/dial_aligned_s1/aoa_analysis.json +0 -0
- nodes/vavvi/aoa/dial_aligned_s1/surprisal.json +3 -0
- nodes/vavvi/aoa/dial_aligned_s2/aoa_analysis.json +0 -0
- nodes/vavvi/aoa/dial_aligned_s2/surprisal.json +3 -0
- nodes/vavvi/aoa/dial_aligned_s3/aoa_analysis.json +0 -0
- nodes/vavvi/aoa/dial_aligned_s3/surprisal.json +3 -0
- nodes/vavvi/aoa/dial_shared_s2/aoa_analysis.json +0 -0
- nodes/vavvi/aoa/dial_shared_s2/surprisal.json +3 -0
- nodes/vavvi/aoa/dial_shared_s4/aoa_analysis.json +0 -0
- nodes/vavvi/aoa/dial_shared_s4/surprisal.json +3 -0
- nodes/vavvi/aoa/dial_shuffled_s3/aoa_analysis.json +0 -0
- nodes/vavvi/aoa/dial_shuffled_s3/surprisal.json +3 -0
- nodes/vavvi/aoa/dial_shuffled_s4/aoa_analysis.json +0 -0
- nodes/vavvi/aoa/dial_shuffled_s4/surprisal.json +3 -0
- nodes/vavvi/aoa/dial_shuffled_s5/aoa_analysis.json +0 -0
- nodes/vavvi/aoa/dial_shuffled_s5/surprisal.json +3 -0
- nodes/vavvi/coord/coord/preflight_vavvi.json +11 -0
- nodes/vavvi/coord/coord/preflight_vavvi2-1.json +11 -0
- nodes/vavvi/coord/coord/preflight_vavvi2-2.json +11 -0
- nodes/vavvi/coord/coord/terminal_decision.json +52 -0
- nodes/vavvi/coord/coord/training_complete_vavvi.json +32 -0
- nodes/vavvi/coord/coord/training_complete_vavvi2-1.json +32 -0
- nodes/vavvi/coord/coord/training_complete_vavvi2-2.json +20 -0
- nodes/vavvi/coord/terminal_decision.json +52 -0
- nodes/vavvi/eval/.eval_queue_index.369169 +1 -0
- nodes/vavvi/eval/.eval_queue_index.374682 +1 -0
- nodes/vavvi/eval/.eval_queue_index.374691 +1 -0
- nodes/vavvi/eval/.eval_queue_index.378078 +1 -0
- nodes/vavvi/eval/.eval_queue_index.403086 +1 -0
- nodes/vavvi/eval/.eval_queue_index.403104 +1 -0
- nodes/vavvi/eval/.eval_queue_index.403131 +1 -0
- nodes/vavvi/eval/.eval_queue_lock.369169 +0 -0
- nodes/vavvi/eval/.eval_queue_lock.374682 +0 -0
- nodes/vavvi/eval/.eval_queue_lock.374691 +0 -0
- nodes/vavvi/eval/.eval_queue_lock.378078 +0 -0
- nodes/vavvi/eval/.eval_queue_lock.403086 +0 -0
- nodes/vavvi/eval/.eval_queue_lock.403104 +0 -0
- nodes/vavvi/eval/.eval_queue_lock.403131 +0 -0
- nodes/vavvi/eval/dial_aligned_s1/chck_10M/.done_fast_globalpiqa +1 -0
- nodes/vavvi/eval/dial_aligned_s1/chck_10M/.eval.lock +0 -0
- nodes/vavvi/eval/dial_aligned_s1/chck_10M/eval_provenance.json +43 -0
- nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/blimp_fast/best_temperature_report.txt +95 -0
- nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/blimp_fast/predictions.json +0 -0
- nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/blimp_fast/runtime.json +11 -0
- nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/supplement_fast/best_temperature_report.txt +18 -0
- nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/supplement_fast/predictions.json +1 -0
- nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/supplement_fast/runtime.json +11 -0
- nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/comps/comps/best_temperature_report.txt +11 -0
.gitattributes
CHANGED
|
@@ -58,3 +58,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 58 |
# Video files - compressed
|
| 59 |
*.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 60 |
*.webm filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 58 |
# Video files - compressed
|
| 59 |
*.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 60 |
*.webm filter=lfs diff=lfs merge=lfs -text
|
| 61 |
+
nodes/vavvi/aoa/dial_aligned_s1/surprisal.json filter=lfs diff=lfs merge=lfs -text
|
| 62 |
+
nodes/vavvi/aoa/dial_aligned_s2/surprisal.json filter=lfs diff=lfs merge=lfs -text
|
| 63 |
+
nodes/vavvi/aoa/dial_aligned_s3/surprisal.json filter=lfs diff=lfs merge=lfs -text
|
| 64 |
+
nodes/vavvi/aoa/dial_shared_s2/surprisal.json filter=lfs diff=lfs merge=lfs -text
|
| 65 |
+
nodes/vavvi/aoa/dial_shared_s4/surprisal.json filter=lfs diff=lfs merge=lfs -text
|
| 66 |
+
nodes/vavvi/aoa/dial_shuffled_s3/surprisal.json filter=lfs diff=lfs merge=lfs -text
|
| 67 |
+
nodes/vavvi/aoa/dial_shuffled_s4/surprisal.json filter=lfs diff=lfs merge=lfs -text
|
| 68 |
+
nodes/vavvi/aoa/dial_shuffled_s5/surprisal.json filter=lfs diff=lfs merge=lfs -text
|
nodes/vavvi/.pipeline_failed
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
2026-07-20T09:14:38Z
|
nodes/vavvi/aoa/dial_aligned_s1/aoa_analysis.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi/aoa/dial_aligned_s1/surprisal.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e6ed8bfeeef99c5c7c3199cc792ae9038196c509f20173ceb6e156b47efb2f2
|
| 3 |
+
size 24953606
|
nodes/vavvi/aoa/dial_aligned_s2/aoa_analysis.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi/aoa/dial_aligned_s2/surprisal.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:051c242e6f492a65653db97385627db8ab47470acd6a11c38d3d068972ba66f4
|
| 3 |
+
size 24953504
|
nodes/vavvi/aoa/dial_aligned_s3/aoa_analysis.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi/aoa/dial_aligned_s3/surprisal.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93b14887f1711e6c5877148a9d6a72fc9f110c01060b6e14e2f3a14b9f4d35be
|
| 3 |
+
size 24953349
|
nodes/vavvi/aoa/dial_shared_s2/aoa_analysis.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi/aoa/dial_shared_s2/surprisal.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3a8975b7054c5dc585b9df2de76bfe3acdb2f0e87695cdee6cead8679374bf6d
|
| 3 |
+
size 24953883
|
nodes/vavvi/aoa/dial_shared_s4/aoa_analysis.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi/aoa/dial_shared_s4/surprisal.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:15f66e8d0bdc7fee51f5d5b92a4e88e8aadd506509e110c17a1c0a45739fb5bb
|
| 3 |
+
size 24953717
|
nodes/vavvi/aoa/dial_shuffled_s3/aoa_analysis.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi/aoa/dial_shuffled_s3/surprisal.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8d026f98ac0bb9ad556d0eb243b600873c42f1cac727accc390959a0aee6bbe
|
| 3 |
+
size 24953817
|
nodes/vavvi/aoa/dial_shuffled_s4/aoa_analysis.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi/aoa/dial_shuffled_s4/surprisal.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e9bf799460704c34a4c2f6d959bca92290ccdfedea761580d058329dc6ae77f
|
| 3 |
+
size 24954058
|
nodes/vavvi/aoa/dial_shuffled_s5/aoa_analysis.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi/aoa/dial_shuffled_s5/surprisal.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b3ec1e6391ffd80e5f35424d973824c10fcd8f6423490b5396f1827b9a954aa2
|
| 3 |
+
size 24953707
|
nodes/vavvi/coord/coord/preflight_vavvi.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"condition": "aligned",
|
| 3 |
+
"minimum_words_per_second": 3869.8953652546447,
|
| 4 |
+
"node": "vavvi",
|
| 5 |
+
"rates": {
|
| 6 |
+
"dial_aligned_s0": 3869.8953652546447,
|
| 7 |
+
"dial_aligned_s1": 3976.2657030242467
|
| 8 |
+
},
|
| 9 |
+
"reads_outcomes": false,
|
| 10 |
+
"schema_version": 1
|
| 11 |
+
}
|
nodes/vavvi/coord/coord/preflight_vavvi2-1.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"condition": "shared",
|
| 3 |
+
"minimum_words_per_second": 3851.2520605600585,
|
| 4 |
+
"node": "vavvi2-1",
|
| 5 |
+
"rates": {
|
| 6 |
+
"dial_shared_s0": 3851.2520605600585,
|
| 7 |
+
"dial_shared_s1": 3968.123426615688
|
| 8 |
+
},
|
| 9 |
+
"reads_outcomes": false,
|
| 10 |
+
"schema_version": 1
|
| 11 |
+
}
|
nodes/vavvi/coord/coord/preflight_vavvi2-2.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"condition": "shuffled",
|
| 3 |
+
"minimum_words_per_second": 887.5537454708626,
|
| 4 |
+
"node": "vavvi2-2",
|
| 5 |
+
"rates": {
|
| 6 |
+
"dial_shuffled_s0": 887.5537454708626,
|
| 7 |
+
"dial_shuffled_s1": 900.89225248373
|
| 8 |
+
},
|
| 9 |
+
"reads_outcomes": false,
|
| 10 |
+
"schema_version": 1
|
| 11 |
+
}
|
nodes/vavvi/coord/coord/terminal_decision.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"complete_paired_seeds": [
|
| 3 |
+
0,
|
| 4 |
+
1,
|
| 5 |
+
2,
|
| 6 |
+
3,
|
| 7 |
+
4,
|
| 8 |
+
5
|
| 9 |
+
],
|
| 10 |
+
"decision_basis": "three-node concurrent smoke throughput only",
|
| 11 |
+
"decision_reads_outcomes": false,
|
| 12 |
+
"nodes": [
|
| 13 |
+
{
|
| 14 |
+
"condition": "aligned",
|
| 15 |
+
"minimum_words_per_second": 3869.8953652546447,
|
| 16 |
+
"node": "vavvi",
|
| 17 |
+
"rates": {
|
| 18 |
+
"dial_aligned_s0": 3869.8953652546447,
|
| 19 |
+
"dial_aligned_s1": 3976.2657030242467
|
| 20 |
+
},
|
| 21 |
+
"reads_outcomes": false,
|
| 22 |
+
"schema_version": 1
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"condition": "shared",
|
| 26 |
+
"minimum_words_per_second": 3851.2520605600585,
|
| 27 |
+
"node": "vavvi2-1",
|
| 28 |
+
"rates": {
|
| 29 |
+
"dial_shared_s0": 3851.2520605600585,
|
| 30 |
+
"dial_shared_s1": 3968.123426615688
|
| 31 |
+
},
|
| 32 |
+
"reads_outcomes": false,
|
| 33 |
+
"schema_version": 1
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"condition": "shuffled",
|
| 37 |
+
"minimum_words_per_second": 887.5537454708626,
|
| 38 |
+
"node": "vavvi2-2",
|
| 39 |
+
"rates": {
|
| 40 |
+
"dial_shuffled_s0": 887.5537454708626,
|
| 41 |
+
"dial_shuffled_s1": 900.89225248373
|
| 42 |
+
},
|
| 43 |
+
"reads_outcomes": false,
|
| 44 |
+
"schema_version": 1
|
| 45 |
+
}
|
| 46 |
+
],
|
| 47 |
+
"predicted_wall_hours_to_40m": 37.55641109446214,
|
| 48 |
+
"schema_version": 1,
|
| 49 |
+
"slowest_words_per_second": 887.5537454708626,
|
| 50 |
+
"terminal_exposure_words": 30000000,
|
| 51 |
+
"threshold_hours": 8.5
|
| 52 |
+
}
|
nodes/vavvi/coord/coord/training_complete_vavvi.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"allocation": {
|
| 3 |
+
"gpu0": [
|
| 4 |
+
"dial_aligned_s1",
|
| 5 |
+
"dial_shared_s2",
|
| 6 |
+
"dial_shuffled_s3",
|
| 7 |
+
"dial_shuffled_s4"
|
| 8 |
+
],
|
| 9 |
+
"gpu1": [
|
| 10 |
+
"dial_aligned_s2",
|
| 11 |
+
"dial_aligned_s3",
|
| 12 |
+
"dial_shared_s4",
|
| 13 |
+
"dial_shuffled_s5"
|
| 14 |
+
]
|
| 15 |
+
},
|
| 16 |
+
"completed_at_utc": "2026-07-20T04:29:11.046726+00:00",
|
| 17 |
+
"lineages": 8,
|
| 18 |
+
"node": "vavvi",
|
| 19 |
+
"schema_version": 1,
|
| 20 |
+
"sealed_before_outcome_access": true,
|
| 21 |
+
"terminal_exposure_words": 30000000,
|
| 22 |
+
"variants": [
|
| 23 |
+
"dial_aligned_s1",
|
| 24 |
+
"dial_shared_s2",
|
| 25 |
+
"dial_shuffled_s3",
|
| 26 |
+
"dial_shuffled_s4",
|
| 27 |
+
"dial_aligned_s2",
|
| 28 |
+
"dial_aligned_s3",
|
| 29 |
+
"dial_shared_s4",
|
| 30 |
+
"dial_shuffled_s5"
|
| 31 |
+
]
|
| 32 |
+
}
|
nodes/vavvi/coord/coord/training_complete_vavvi2-1.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"allocation": {
|
| 3 |
+
"gpu0": [
|
| 4 |
+
"dial_aligned_s4",
|
| 5 |
+
"dial_shared_s5",
|
| 6 |
+
"dial_shuffled_s0",
|
| 7 |
+
"dial_shuffled_s1"
|
| 8 |
+
],
|
| 9 |
+
"gpu1": [
|
| 10 |
+
"dial_aligned_s5",
|
| 11 |
+
"dial_shared_s0",
|
| 12 |
+
"dial_shared_s3",
|
| 13 |
+
"dial_shuffled_s2"
|
| 14 |
+
]
|
| 15 |
+
},
|
| 16 |
+
"completed_at_utc": "2026-07-20T04:32:23.321768+00:00",
|
| 17 |
+
"lineages": 8,
|
| 18 |
+
"node": "vavvi2-1",
|
| 19 |
+
"schema_version": 1,
|
| 20 |
+
"sealed_before_outcome_access": true,
|
| 21 |
+
"terminal_exposure_words": 30000000,
|
| 22 |
+
"variants": [
|
| 23 |
+
"dial_aligned_s4",
|
| 24 |
+
"dial_shared_s5",
|
| 25 |
+
"dial_shuffled_s0",
|
| 26 |
+
"dial_shuffled_s1",
|
| 27 |
+
"dial_aligned_s5",
|
| 28 |
+
"dial_shared_s0",
|
| 29 |
+
"dial_shared_s3",
|
| 30 |
+
"dial_shuffled_s2"
|
| 31 |
+
]
|
| 32 |
+
}
|
nodes/vavvi/coord/coord/training_complete_vavvi2-2.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"allocation": {
|
| 3 |
+
"gpu0": [
|
| 4 |
+
"dial_aligned_s0"
|
| 5 |
+
],
|
| 6 |
+
"gpu1": [
|
| 7 |
+
"dial_shared_s1"
|
| 8 |
+
]
|
| 9 |
+
},
|
| 10 |
+
"completed_at_utc": "2026-07-20T03:26:28.248257+00:00",
|
| 11 |
+
"lineages": 2,
|
| 12 |
+
"node": "vavvi2-2",
|
| 13 |
+
"schema_version": 1,
|
| 14 |
+
"sealed_before_outcome_access": true,
|
| 15 |
+
"terminal_exposure_words": 30000000,
|
| 16 |
+
"variants": [
|
| 17 |
+
"dial_aligned_s0",
|
| 18 |
+
"dial_shared_s1"
|
| 19 |
+
]
|
| 20 |
+
}
|
nodes/vavvi/coord/terminal_decision.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"complete_paired_seeds": [
|
| 3 |
+
0,
|
| 4 |
+
1,
|
| 5 |
+
2,
|
| 6 |
+
3,
|
| 7 |
+
4,
|
| 8 |
+
5
|
| 9 |
+
],
|
| 10 |
+
"decision_basis": "three-node concurrent smoke throughput only",
|
| 11 |
+
"decision_reads_outcomes": false,
|
| 12 |
+
"nodes": [
|
| 13 |
+
{
|
| 14 |
+
"condition": "aligned",
|
| 15 |
+
"minimum_words_per_second": 3869.8953652546447,
|
| 16 |
+
"node": "vavvi",
|
| 17 |
+
"rates": {
|
| 18 |
+
"dial_aligned_s0": 3869.8953652546447,
|
| 19 |
+
"dial_aligned_s1": 3976.2657030242467
|
| 20 |
+
},
|
| 21 |
+
"reads_outcomes": false,
|
| 22 |
+
"schema_version": 1
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"condition": "shared",
|
| 26 |
+
"minimum_words_per_second": 3851.2520605600585,
|
| 27 |
+
"node": "vavvi2-1",
|
| 28 |
+
"rates": {
|
| 29 |
+
"dial_shared_s0": 3851.2520605600585,
|
| 30 |
+
"dial_shared_s1": 3968.123426615688
|
| 31 |
+
},
|
| 32 |
+
"reads_outcomes": false,
|
| 33 |
+
"schema_version": 1
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"condition": "shuffled",
|
| 37 |
+
"minimum_words_per_second": 887.5537454708626,
|
| 38 |
+
"node": "vavvi2-2",
|
| 39 |
+
"rates": {
|
| 40 |
+
"dial_shuffled_s0": 887.5537454708626,
|
| 41 |
+
"dial_shuffled_s1": 900.89225248373
|
| 42 |
+
},
|
| 43 |
+
"reads_outcomes": false,
|
| 44 |
+
"schema_version": 1
|
| 45 |
+
}
|
| 46 |
+
],
|
| 47 |
+
"predicted_wall_hours_to_40m": 37.55641109446214,
|
| 48 |
+
"schema_version": 1,
|
| 49 |
+
"slowest_words_per_second": 887.5537454708626,
|
| 50 |
+
"terminal_exposure_words": 30000000,
|
| 51 |
+
"threshold_hours": 8.5
|
| 52 |
+
}
|
nodes/vavvi/eval/.eval_queue_index.369169
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
92
|
nodes/vavvi/eval/.eval_queue_index.374682
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
96
|
nodes/vavvi/eval/.eval_queue_index.374691
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
96
|
nodes/vavvi/eval/.eval_queue_index.378078
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
96
|
nodes/vavvi/eval/.eval_queue_index.403086
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
1
|
nodes/vavvi/eval/.eval_queue_index.403104
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
1
|
nodes/vavvi/eval/.eval_queue_index.403131
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
1
|
nodes/vavvi/eval/.eval_queue_lock.369169
ADDED
|
File without changes
|
nodes/vavvi/eval/.eval_queue_lock.374682
ADDED
|
File without changes
|
nodes/vavvi/eval/.eval_queue_lock.374691
ADDED
|
File without changes
|
nodes/vavvi/eval/.eval_queue_lock.378078
ADDED
|
File without changes
|
nodes/vavvi/eval/.eval_queue_lock.403086
ADDED
|
File without changes
|
nodes/vavvi/eval/.eval_queue_lock.403104
ADDED
|
File without changes
|
nodes/vavvi/eval/.eval_queue_lock.403131
ADDED
|
File without changes
|
nodes/vavvi/eval/dial_aligned_s1/chck_10M/.done_fast_globalpiqa
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
2026-07-20T05:22:39Z
|
nodes/vavvi/eval/dial_aligned_s1/chck_10M/.eval.lock
ADDED
|
File without changes
|
nodes/vavvi/eval/dial_aligned_s1/chck_10M/eval_provenance.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "mntp",
|
| 3 |
+
"checkpoint": "/home/cc/tolm/runs/dial_aligned_s1/chck_10M",
|
| 4 |
+
"corpus_manifest_sha256": "d065f2065712e9c83d73d3aa58e7453205e4ccbea8dcc232b71a57d54dd17d97",
|
| 5 |
+
"corpus_source_sha256": "25bd27eec0d21e0ec3e33a0467c91f9f3d1d6f78adc25369720cc0289e191bf3",
|
| 6 |
+
"created_at": "2026-07-20T05:12:41.972360+00:00",
|
| 7 |
+
"dial_manifest_sha256": "5d72f99411ae628ece4a63b79ae77c00e711a6c66439dd20d0d83459c36aaa5e",
|
| 8 |
+
"dial_scaffold_sha256": "f5ecb5d2022c35481e8976605d435476b49532cb2c70e72720c56550fdbc2763",
|
| 9 |
+
"document_order_sha256": null,
|
| 10 |
+
"evaluator": {
|
| 11 |
+
"git_commit": "4801dd53667b94977d21ed069be96e52655db0ac",
|
| 12 |
+
"git_dirty": false,
|
| 13 |
+
"source_sha256": "cba7ce5bb1257238db3d146c10b1d8108d3303d2849588ea8131d8334e46bb14",
|
| 14 |
+
"torch": "2.6.0+rocm6.2.4",
|
| 15 |
+
"transformers": "4.51.3"
|
| 16 |
+
},
|
| 17 |
+
"expected_tied_embeddings": false,
|
| 18 |
+
"factor_manifest_sha256": null,
|
| 19 |
+
"factor_readout_sha256": null,
|
| 20 |
+
"factorization_manifest_sha256": null,
|
| 21 |
+
"influence_preflight_sha256": null,
|
| 22 |
+
"model_sha256": "4291612233d08e400d700d60820eb949781cc2eddc8d334ebe37dc3d815e5003",
|
| 23 |
+
"parity": {
|
| 24 |
+
"causal_lm": {
|
| 25 |
+
"embedding_relation_valid": true,
|
| 26 |
+
"expected_tied_embeddings": false,
|
| 27 |
+
"max_abs_logit_delta": 0.0,
|
| 28 |
+
"tied_embeddings": false
|
| 29 |
+
},
|
| 30 |
+
"masked_lm": {
|
| 31 |
+
"embedding_relation_valid": true,
|
| 32 |
+
"expected_tied_embeddings": false,
|
| 33 |
+
"max_abs_logit_delta": 0.0,
|
| 34 |
+
"tied_embeddings": false
|
| 35 |
+
}
|
| 36 |
+
},
|
| 37 |
+
"parity_max_abs_logit_delta": 0.0,
|
| 38 |
+
"schema_version": 1,
|
| 39 |
+
"status": "valid",
|
| 40 |
+
"structured_priors_manifest_sha256": null,
|
| 41 |
+
"tokenizer_sha256": "2b8d1b3f51c0d8f276a64ea6a69efa50b4d9899780f1b282b4d0dcb7be5bbb0f",
|
| 42 |
+
"tolm_sha256": "604eb005807b93b3a0c2145851c78f8d61a6f2e27d0fedf0889de844ee8e1713"
|
| 43 |
+
}
|
nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/blimp_fast/best_temperature_report.txt
ADDED
|
@@ -0,0 +1,95 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
TEMPERATURE: 1.00
|
| 2 |
+
|
| 3 |
+
### FIELD ACCURACY
|
| 4 |
+
syntax: 53.42
|
| 5 |
+
syntax/semantics: 52.25
|
| 6 |
+
morphology: 49.78
|
| 7 |
+
semantics: 50.44
|
| 8 |
+
|
| 9 |
+
### UID ACCURACY
|
| 10 |
+
passive_2: 57.00
|
| 11 |
+
only_npi_scope: 64.00
|
| 12 |
+
tough_vs_raising_1: 42.50
|
| 13 |
+
wh_vs_that_no_gap: 65.50
|
| 14 |
+
coordinate_structure_constraint_complex_left_branch: 33.00
|
| 15 |
+
wh_vs_that_no_gap_long_distance: 64.50
|
| 16 |
+
regular_plural_subject_verb_agreement_2: 55.00
|
| 17 |
+
anaphor_number_agreement: 43.50
|
| 18 |
+
left_branch_island_echo_question: 57.00
|
| 19 |
+
determiner_noun_agreement_with_adj_2: 45.50
|
| 20 |
+
wh_questions_object_gap: 56.50
|
| 21 |
+
wh_questions_subject_gap: 70.00
|
| 22 |
+
principle_A_case_1: 66.00
|
| 23 |
+
irregular_past_participle_verbs: 63.50
|
| 24 |
+
wh_island: 60.50
|
| 25 |
+
determiner_noun_agreement_with_adjective_1: 54.00
|
| 26 |
+
sentential_subject_island: 52.00
|
| 27 |
+
irregular_plural_subject_verb_agreement_1: 43.00
|
| 28 |
+
animate_subject_passive: 55.00
|
| 29 |
+
principle_A_domain_1: 46.50
|
| 30 |
+
left_branch_island_simple_question: 53.00
|
| 31 |
+
principle_A_c_command: 48.50
|
| 32 |
+
existential_there_object_raising: 56.50
|
| 33 |
+
sentential_negation_npi_licensor_present: 51.00
|
| 34 |
+
expletive_it_object_raising: 59.00
|
| 35 |
+
existential_there_subject_raising: 56.50
|
| 36 |
+
coordinate_structure_constraint_object_extraction: 61.00
|
| 37 |
+
principle_A_domain_2: 55.00
|
| 38 |
+
complex_NP_island: 52.00
|
| 39 |
+
distractor_agreement_relative_clause: 54.00
|
| 40 |
+
ellipsis_n_bar_1: 57.00
|
| 41 |
+
npi_present_2: 52.00
|
| 42 |
+
determiner_noun_agreement_irregular_1: 47.00
|
| 43 |
+
adjunct_island: 43.50
|
| 44 |
+
drop_argument: 68.00
|
| 45 |
+
transitive: 48.50
|
| 46 |
+
determiner_noun_agreement_1: 52.00
|
| 47 |
+
tough_vs_raising_2: 58.00
|
| 48 |
+
wh_vs_that_with_gap_long_distance: 38.00
|
| 49 |
+
passive_1: 66.50
|
| 50 |
+
matrix_question_npi_licensor_present: 29.50
|
| 51 |
+
anaphor_gender_agreement: 38.00
|
| 52 |
+
causative: 40.00
|
| 53 |
+
distractor_agreement_relational_noun: 43.00
|
| 54 |
+
ellipsis_n_bar_2: 27.50
|
| 55 |
+
npi_present_1: 50.50
|
| 56 |
+
existential_there_quantifiers_2: 46.50
|
| 57 |
+
principle_A_domain_3: 53.50
|
| 58 |
+
principle_A_reconstruction: 44.00
|
| 59 |
+
animate_subject_trans: 71.50
|
| 60 |
+
determiner_noun_agreement_2: 51.50
|
| 61 |
+
determiner_noun_agreement_with_adj_irregular_1: 54.50
|
| 62 |
+
regular_plural_subject_verb_agreement_1: 49.00
|
| 63 |
+
only_npi_licensor_present: 53.00
|
| 64 |
+
irregular_past_participle_adjectives: 47.50
|
| 65 |
+
determiner_noun_agreement_irregular_2: 55.50
|
| 66 |
+
existential_there_quantifiers_1: 59.50
|
| 67 |
+
principle_A_case_2: 46.00
|
| 68 |
+
determiner_noun_agreement_with_adj_irregular_2: 51.50
|
| 69 |
+
wh_vs_that_with_gap: 31.50
|
| 70 |
+
sentential_negation_npi_scope: 35.50
|
| 71 |
+
irregular_plural_subject_verb_agreement_2: 48.00
|
| 72 |
+
superlative_quantifiers_2: 57.50
|
| 73 |
+
intransitive: 53.00
|
| 74 |
+
inchoative: 44.00
|
| 75 |
+
wh_questions_subject_gap_long_distance: 63.00
|
| 76 |
+
superlative_quantifiers_1: 54.50
|
| 77 |
+
|
| 78 |
+
### LINGUISTICS_TERM ACCURACY
|
| 79 |
+
argument_structure: 53.86
|
| 80 |
+
npi_licensing: 47.93
|
| 81 |
+
control_raising: 54.50
|
| 82 |
+
filler_gap_dependency: 55.57
|
| 83 |
+
island_effects: 51.50
|
| 84 |
+
subject_verb_agreement: 48.67
|
| 85 |
+
anaphor_agreement: 40.75
|
| 86 |
+
determiner_noun_agreement: 51.44
|
| 87 |
+
binding: 51.36
|
| 88 |
+
irregular_forms: 55.50
|
| 89 |
+
s-selection: 63.25
|
| 90 |
+
ellipsis: 42.25
|
| 91 |
+
quantifiers: 54.50
|
| 92 |
+
|
| 93 |
+
### AVERAGE ACCURACY
|
| 94 |
+
51.80
|
| 95 |
+
|
nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/blimp_fast/predictions.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/blimp_fast/runtime.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "rocm",
|
| 3 |
+
"cuda_version": null,
|
| 4 |
+
"device": "cuda:1",
|
| 5 |
+
"device_count": 2,
|
| 6 |
+
"device_name": "AMD Instinct MI100",
|
| 7 |
+
"hip_version": "6.2.41134-65d174c3e",
|
| 8 |
+
"python_version": "3.12.3",
|
| 9 |
+
"schema_version": 1,
|
| 10 |
+
"torch_version": "2.6.0+rocm6.2.4"
|
| 11 |
+
}
|
nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/supplement_fast/best_temperature_report.txt
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
TEMPERATURE: 1.00
|
| 2 |
+
|
| 3 |
+
### FIELD ACCURACY
|
| 4 |
+
supplement: 47.60
|
| 5 |
+
|
| 6 |
+
### UID ACCURACY
|
| 7 |
+
turn_taking: 54.00
|
| 8 |
+
qa_congruence_tricky: 34.00
|
| 9 |
+
hypernym: 50.00
|
| 10 |
+
subject_aux_inversion: 60.00
|
| 11 |
+
qa_congruence_easy: 40.00
|
| 12 |
+
|
| 13 |
+
### LINGUISTICS_TERM ACCURACY
|
| 14 |
+
supplement: 47.60
|
| 15 |
+
|
| 16 |
+
### AVERAGE ACCURACY
|
| 17 |
+
47.60
|
| 18 |
+
|
nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/supplement_fast/predictions.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"turn_taking": {"predictions": [{"id": "turn_taking_0", "pred": "\"Did you say that I met him?\" he asked. \"Yes, you said that,\" she said."}, {"id": "turn_taking_1", "pred": "Did we say that we quit?\nYes, they said that."}, {"id": "turn_taking_2", "pred": "David: Did she say that you will find something to do later?\nSarah: Yes, I said that."}, {"id": "turn_taking_3", "pred": "Did I meet him?\nNo, I didn't."}, {"id": "turn_taking_4", "pred": "Should I finish?\nNo, I shouldn't."}, {"id": "turn_taking_5", "pred": "Should you say that she will finish?\nNo, I shouldn't say that."}, {"id": "turn_taking_6", "pred": "Should she say that she will meet him?\nNo, I shouldn't say that."}, {"id": "turn_taking_7", "pred": "A: Should I meet him?\nB: Yes, she should."}, {"id": "turn_taking_8", "pred": "A: Did you go somewhere after the movie was over?\nB: Yes, I did."}, {"id": "turn_taking_9", "pred": "A: Should I meet him?\nB: No, you shouldn't."}, {"id": "turn_taking_10", "pred": "David: Should you meet him?\nSarah: No, I shouldn't."}, {"id": "turn_taking_11", "pred": "A: Did they say that they left?\nB: No, we didn't."}, {"id": "turn_taking_12", "pred": "Did you figure it out?\nYes, we did."}, {"id": "turn_taking_13", "pred": "Should I say that they will meet him?\nNo, she shouldn't."}, {"id": "turn_taking_14", "pred": "A: Should we meet him?\nB: Yes, you should."}, {"id": "turn_taking_15", "pred": "Did they find something to do later?\nNo, they didn't."}, {"id": "turn_taking_16", "pred": "Did she quit?\nYes, I did."}, {"id": "turn_taking_17", "pred": "A: Did you say that you will find something to do later?\nB: No, we didn't say that."}, {"id": "turn_taking_18", "pred": "A: Should I say that I will quit?\nB: Yes, she should."}, {"id": "turn_taking_19", "pred": "David: Did you try to finish it on time or not?\nSarah: No, I didn't."}, {"id": "turn_taking_20", "pred": "Should she consider asking for another option?\nNo, I shouldn't."}, {"id": "turn_taking_21", "pred": "Did you say that she will think it was going to work?\nYes, you said that."}, {"id": "turn_taking_22", "pred": "Did we say that she finished?\nYes, they did."}, {"id": "turn_taking_23", "pred": "\"Did you say that she will try to finish it on time or not?\" he asked. \"Yes, you did,\" she said."}, {"id": "turn_taking_24", "pred": "Did you try to finish it on time or not?\nNo, we didn't."}, {"id": "turn_taking_25", "pred": "David: Should I say that they will finish?\nSarah: Yes, you should say that."}, {"id": "turn_taking_26", "pred": "David: Did they try to finish it on time or not?\nSarah: Yes, we did."}, {"id": "turn_taking_27", "pred": "A: Did we say that I met him?\nB: No, we didn't."}, {"id": "turn_taking_28", "pred": "David: Did we say that you met him?\nSarah: No, they didn't."}, {"id": "turn_taking_29", "pred": "A: Did I say that we quit?\nB: No, I didn't say that."}, {"id": "turn_taking_30", "pred": "A: Should we meet him?\nB: No, we shouldn't."}, {"id": "turn_taking_31", "pred": "Did you go somewhere after the movie was over?\nNo, you didn't."}, {"id": "turn_taking_32", "pred": "\"Did they say that I will try to finish it on time or not?\" he asked. \"Yes, they said that,\" she said."}, {"id": "turn_taking_33", "pred": "A: Did you quit?\nB: Yes, I did."}, {"id": "turn_taking_34", "pred": "A: Should you figure it out?\nB: Yes, you should."}, {"id": "turn_taking_35", "pred": "David: Should you meet him?\nSarah: Yes, I should."}, {"id": "turn_taking_36", "pred": "\"Did you say that we will think it was going to work?\" he asked. \"Yes, you said that,\" she said."}, {"id": "turn_taking_37", "pred": "\"Did we try to finish it on time or not?\" he asked. \"No, we didn't,\" she said."}, {"id": "turn_taking_38", "pred": "A: Did we meet him?\nB: Yes, we did."}, {"id": "turn_taking_39", "pred": "A: Should she say that I will leave?\nB: Yes, I should."}, {"id": "turn_taking_40", "pred": "\"Did she figure it out?\" he asked. \"Yes, she did,\" she said."}, {"id": "turn_taking_41", "pred": "Should you say that you will meet him?\nNo, we shouldn't say that."}, {"id": "turn_taking_42", "pred": "Did they say that I met him?\nYes, they said that."}, {"id": "turn_taking_43", "pred": "Did you figure it out?\nYes, I did."}, {"id": "turn_taking_44", "pred": "\"Did you meet him?\" he asked. \"No, I didn't,\" she said."}, {"id": "turn_taking_45", "pred": "David: Did you say that you finished?\nSarah: No, I didn't say that."}, {"id": "turn_taking_46", "pred": "Did you quit?\nNo, I didn't."}, {"id": "turn_taking_47", "pred": "David: Should I say that she will consider asking for another option?\nSarah: No, you shouldn't."}, {"id": "turn_taking_48", "pred": "David: Did they say that she left?\nSarah: No, we didn't."}, {"id": "turn_taking_49", "pred": "David: Did they say that they will go somewhere after the movie is over?\nSarah: Yes, they did."}]}, "qa_congruence_tricky": {"predictions": [{"id": "qa_congruence_tricky_0", "pred": "A: How do you teach?\nB: Science."}, {"id": "qa_congruence_tricky_1", "pred": "A: Who cleaned?\nB: Sarah cleaned."}, {"id": "qa_congruence_tricky_2", "pred": "Who studies?\nA doctor studies."}, {"id": "qa_congruence_tricky_3", "pred": "David: How many do you study?\nSarah: History studies."}, {"id": "qa_congruence_tricky_4", "pred": "A: Who read?\nB: A teacher read."}, {"id": "qa_congruence_tricky_5", "pred": "David: Who studies?\nSarah: History studies."}, {"id": "qa_congruence_tricky_6", "pred": "A: Who cooked?\nB: David cooked."}, {"id": "qa_congruence_tricky_7", "pred": "Where do you study?\nScience studies."}, {"id": "qa_congruence_tricky_8", "pred": "When do you teach?\nMath."}, {"id": "qa_congruence_tricky_9", "pred": "A: When did you cook?\nB: Dinner."}, {"id": "qa_congruence_tricky_10", "pred": "When did you eat?\nLunch."}, {"id": "qa_congruence_tricky_11", "pred": "David: Who studies?\nSarah: David studies."}, {"id": "qa_congruence_tricky_12", "pred": "A: Why do you teach?\nB: For fun teaches."}, {"id": "qa_congruence_tricky_13", "pred": "David: When do you study?\nSarah: Science studies."}, {"id": "qa_congruence_tricky_14", "pred": "A: How many did you clean?\nB: Ten."}, {"id": "qa_congruence_tricky_15", "pred": "How do you teach?\nScience teaches."}, {"id": "qa_congruence_tricky_16", "pred": "David: Who cooked?\nSarah: David."}, {"id": "qa_congruence_tricky_17", "pred": "Where did you eat?\nDinner."}, {"id": "qa_congruence_tricky_18", "pred": "A: How many do you study?\nB: Science."}, {"id": "qa_congruence_tricky_19", "pred": "Why did you clean?\nI cleaned the patio."}, {"id": "qa_congruence_tricky_20", "pred": "When were you reading?\nA letter."}, {"id": "qa_congruence_tricky_21", "pred": "David: When did you clean?\nSarah: I cleaned yesterday."}, {"id": "qa_congruence_tricky_22", "pred": "Where did you eat?\nPasta ate."}, {"id": "qa_congruence_tricky_23", "pred": "Why did you cook?\nA sandwich cooked."}, {"id": "qa_congruence_tricky_24", "pred": "How were you writing?\nAn essay wrote."}, {"id": "qa_congruence_tricky_25", "pred": "David: Where were you writing?\nSarah: An essay wrote."}, {"id": "qa_congruence_tricky_26", "pred": "David: How many did you eat?\nSarah: Three ate."}, {"id": "qa_congruence_tricky_27", "pred": "David: How many do you study?\nSarah: Math."}, {"id": "qa_congruence_tricky_28", "pred": "Why do you teach?\nScience."}, {"id": "qa_congruence_tricky_29", "pred": "A: Where were you reading?\nB: An essay."}, {"id": "qa_congruence_tricky_30", "pred": "How did you cook?\nPasta."}, {"id": "qa_congruence_tricky_31", "pred": "A: Why were you reading?\nB: For work read."}, {"id": "qa_congruence_tricky_32", "pred": "A: Who studies?\nB: Science."}, {"id": "qa_congruence_tricky_33", "pred": "A: Why did you eat?\nB: Just because ate."}, {"id": "qa_congruence_tricky_34", "pred": "How many did you eat?\nOne."}, {"id": "qa_congruence_tricky_35", "pred": "David: How many do you teach?\nSarah: Science teaches."}, {"id": "qa_congruence_tricky_36", "pred": "How do you teach?\nHistory."}, {"id": "qa_congruence_tricky_37", "pred": "A: Why do you study?\nB: Science studies."}, {"id": "qa_congruence_tricky_38", "pred": "David: When were you writing?\nSarah: An essay wrote."}, {"id": "qa_congruence_tricky_39", "pred": "A: How did you clean?\nB: I cleaned slowly."}, {"id": "qa_congruence_tricky_40", "pred": "Where did you eat?\nLunch."}, {"id": "qa_congruence_tricky_41", "pred": "A: When did you eat?\nB: Dinner ate."}, {"id": "qa_congruence_tricky_42", "pred": "A: Who cleaned?\nB: Sarah."}, {"id": "qa_congruence_tricky_43", "pred": "A: How many do you teach?\nB: History."}, {"id": "qa_congruence_tricky_44", "pred": "A: Where were you writing?\nB: A letter wrote."}, {"id": "qa_congruence_tricky_45", "pred": "David: How did you eat?\nSarah: Lunch."}, {"id": "qa_congruence_tricky_46", "pred": "David: Who wrote?\nSarah: David wrote."}, {"id": "qa_congruence_tricky_47", "pred": "When were you writing?\nA letter wrote."}, {"id": "qa_congruence_tricky_48", "pred": "David: Where were you writing?\nSarah: At work."}, {"id": "qa_congruence_tricky_49", "pred": "David: When were you reading?\nSarah: An essay."}]}, "hypernym": {"predictions": [{"id": "hypernym_0", "pred": "If the contractor didn't build a mansion, it must be the case that the contractor didn't build a house."}, {"id": "hypernym_1", "pred": "If he spotted a robin, that means he didn't spot a worm."}, {"id": "hypernym_2", "pred": "He produces brie, therefore he produces cheese."}, {"id": "hypernym_3", "pred": "The girl is cooking a meal, therefore the girl is cooking food."}, {"id": "hypernym_4", "pred": "If she isn't growing herbs, that means she isn't growing rosemary."}, {"id": "hypernym_5", "pred": "If the boy didn't break a computer, that means the boy didn't break a pc."}, {"id": "hypernym_6", "pred": "He isn't playing a song, so he isn't playing a musical piece."}, {"id": "hypernym_7", "pred": "He spotted a bird, so he spotted a crow."}, {"id": "hypernym_8", "pred": "If he is editing a manual, then he isn't writing a novel."}, {"id": "hypernym_9", "pred": "If the girl doesn't have a poodle, then the girl doesn't have a dog."}, {"id": "hypernym_10", "pred": "She isn't playing a song, therefore she isn't playing a ballad."}, {"id": "hypernym_11", "pred": "If the musician is playing an anthem, then the musician is playing a song."}, {"id": "hypernym_12", "pred": "The boy isn't using a computer, therefore the boy isn't using a pc."}, {"id": "hypernym_13", "pred": "If the boy didn't drink a soda, it must be the case that the boy didn't drink a coke."}, {"id": "hypernym_14", "pred": "If she isn't meeting a sibling, it must be the case that she isn't meeting a brother."}, {"id": "hypernym_15", "pred": "If he bought a pc, that means he bought a phone."}, {"id": "hypernym_16", "pred": "If the farm is growing rosemary, then the farm is growing flowers."}, {"id": "hypernym_17", "pred": "If David is learning to play the guitar, then David isn't playing a string instrument."}, {"id": "hypernym_18", "pred": "The gardener is growing rosemary, therefore the gardener is growing flowers."}, {"id": "hypernym_19", "pred": "If he didn't drink a soda, it must be the case that he didn't drink a coke."}, {"id": "hypernym_20", "pred": "If she spotted an eagle, then she spotted a bird."}, {"id": "hypernym_21", "pred": "If he has a poodle, it must be the case that he has a dog."}, {"id": "hypernym_22", "pred": "If she isn't donating an organ, that means she isn't donating a liver."}, {"id": "hypernym_23", "pred": "David isn't playing a string instrument, so David isn't playing the guitar."}, {"id": "hypernym_24", "pred": "He spotted a crow, so he spotted a worm."}, {"id": "hypernym_25", "pred": "David has a dog, therefore David has a mammal."}, {"id": "hypernym_26", "pred": "If David isn't consuming a drug, it must be the case that David isn't consuming cocaine."}, {"id": "hypernym_27", "pred": "If he is tuning the guitar, it must be the case that he isn't learning to play a string instrument."}, {"id": "hypernym_28", "pred": "The boy is eating a meal, therefore the boy is eating dinner."}, {"id": "hypernym_29", "pred": "He is playing an anthem, therefore he is playing a song."}, {"id": "hypernym_30", "pred": "If David has a dog, that means David has a pit bull."}, {"id": "hypernym_31", "pred": "If she is playing a song, it must be the case that she is playing an anthem."}, {"id": "hypernym_32", "pred": "If he is meeting a sibling, that means he is meeting a brother."}, {"id": "hypernym_33", "pred": "The girl is addicted to cocaine, so the girl isn't addicted to water."}, {"id": "hypernym_34", "pred": "If the boy bought a computer, that means the boy bought an electronic."}, {"id": "hypernym_35", "pred": "If the boy is playing the violin, that means the boy is playing a wind instrument."}, {"id": "hypernym_36", "pred": "She is learning to play the guitar, so she is learning to play a wind instrument."}, {"id": "hypernym_37", "pred": "Sarah bought a pc, so Sarah didn't buy a computer."}, {"id": "hypernym_38", "pred": "The farm is growing basil, so the farm is growing herbs."}, {"id": "hypernym_39", "pred": "If she is donating an organ, it must be the case that she is donating a liver."}, {"id": "hypernym_40", "pred": "If Sarah is playing a string instrument, then Sarah is playing an instrument."}, {"id": "hypernym_41", "pred": "If she didn't break a pc, that means she didn't break a computer."}, {"id": "hypernym_42", "pred": "If he is hosting a wedding, it must be the case that he is hosting a meeting."}, {"id": "hypernym_43", "pred": "If the musician isn't playing a song, then the musician isn't playing a ballad."}, {"id": "hypernym_44", "pred": "The chair is made of wood, so the chair is made of pine."}, {"id": "hypernym_45", "pred": "The boy is playing the violin, therefore the boy isn't tuning a string instrument."}, {"id": "hypernym_46", "pred": "If the couch is made of pine, it must be the case that the couch isn't made of wood."}, {"id": "hypernym_47", "pred": "Sarah didn't drink a coke, therefore Sarah didn't drink a soda."}, {"id": "hypernym_48", "pred": "She isn't growing herbs, so she isn't growing plants."}, {"id": "hypernym_49", "pred": "If David is cooking breakfast, then David is cooking a meal."}]}, "subject_aux_inversion": {"predictions": [{"id": "subject_aux_inversion_0", "pred": "Could the NASA probe is taking pictures of radiation on the planet that help us prove the existence of alien creatures?"}, {"id": "subject_aux_inversion_1", "pred": "Are bugs and worms are crawling on the dirty little boys that playing outside?"}, {"id": "subject_aux_inversion_2", "pred": "Could that notorious instance of white-collar crime should bring about the passage of a new law that help small business owners?"}, {"id": "subject_aux_inversion_3", "pred": "Has every research article she has ever been an author on gotten accepted quickly?"}, {"id": "subject_aux_inversion_4", "pred": "Are liberals who have been to France usually annoying?"}, {"id": "subject_aux_inversion_5", "pred": "Won't all the important things that make you happy last forever?"}, {"id": "subject_aux_inversion_6", "pred": "Has every building she has ever designed toppled over without warning?"}, {"id": "subject_aux_inversion_7", "pred": "Has every undergraduate is still occupying the same apartment he been living in since starting school?"}, {"id": "subject_aux_inversion_8", "pred": "Will the children that actively cooperate with doctors fare better in the long run?"}, {"id": "subject_aux_inversion_9", "pred": "Is the data scientist she is waiting for still on his way?"}, {"id": "subject_aux_inversion_10", "pred": "Is the helicopter he riding on is not for commercial use?"}, {"id": "subject_aux_inversion_11", "pred": "Has every research article she ever written has been published quickly?"}, {"id": "subject_aux_inversion_12", "pred": "Has every student he has ever advised progressed a lot?"}, {"id": "subject_aux_inversion_13", "pred": "Have the grizzly bears in these woods started eating discarded livestock that have been dead for sometime?"}, {"id": "subject_aux_inversion_14", "pred": "Was the circus she is in charge of purchasing a large amount of media equipment?"}, {"id": "subject_aux_inversion_15", "pred": "Could the social movement taking over our streets should lead to the execution of new policy that help small business owners?"}, {"id": "subject_aux_inversion_16", "pred": "Have the grizzly bears in these woods started eating animals that have been dead for sometime?"}, {"id": "subject_aux_inversion_17", "pred": "Will the programmers hold meetings that concentrate on hardware maintenance?"}, {"id": "subject_aux_inversion_18", "pred": "Has every option he ever tested has crashed and burned miserably?"}, {"id": "subject_aux_inversion_19", "pred": "Is every fast food restaurant still making TV commercials for the same food it has been cooking since they changed their menu?"}, {"id": "subject_aux_inversion_20", "pred": "Was he has learned the prelude the conductor programming for the gala?"}, {"id": "subject_aux_inversion_21", "pred": "Has every bridge he has ever constructed toppled over without warning?"}, {"id": "subject_aux_inversion_22", "pred": "Should engineers that make huge contributions to the team receive a financial bonus?"}, {"id": "subject_aux_inversion_23", "pred": "Are ants a curiosity to the dirty little boys that are playing outside?"}, {"id": "subject_aux_inversion_24", "pred": "Was he has been reading the manuscript his opponent working on in secret?"}, {"id": "subject_aux_inversion_25", "pred": "Is the museum he is volunteering for hiring a general manager?"}, {"id": "subject_aux_inversion_26", "pred": "Has every car he ever driven has crashed by accident?"}, {"id": "subject_aux_inversion_27", "pred": "Is every student still trying to figure out the problem set she has been staring at since they entered the test room?"}, {"id": "subject_aux_inversion_28", "pred": "Could the devastating tsunami last year should bring about the passage of a new law that help small business owners?"}, {"id": "subject_aux_inversion_29", "pred": "Has every cruise he ever taken has finished early?"}, {"id": "subject_aux_inversion_30", "pred": "Will the contractors construct new dorms that will be five times larger than the current one?"}, {"id": "subject_aux_inversion_31", "pred": "Should restaurants divide tips evenly among the hardworking employees who work day after day?"}, {"id": "subject_aux_inversion_32", "pred": "Was Apple's new technology is presenting new creative opportunities to every economist that used to the old way of doing things?"}, {"id": "subject_aux_inversion_33", "pred": "Has every pupil she ever advised has improved a lot?"}, {"id": "subject_aux_inversion_34", "pred": "Was the governor of New York who was the founder of a well-known company found to be evading taxes?"}, {"id": "subject_aux_inversion_35", "pred": "Will the investigators look into citizens who cheat on their taxes?"}, {"id": "subject_aux_inversion_36", "pred": "Will a cheetah hunt elephants that had passed through its territory?"}, {"id": "subject_aux_inversion_37", "pred": "Was the CEO of the company that is believed to be the most successful tech company in the United States still a reporter five years ago?"}, {"id": "subject_aux_inversion_38", "pred": "Are CEOs that don't allow their employees to return home by 5 PM disliked by most people?"}, {"id": "subject_aux_inversion_39", "pred": "Will the product managers have group meetings that take longer than an hour?"}, {"id": "subject_aux_inversion_40", "pred": "Was she has reported on the discussion the UN council having about the refugee crisis?"}, {"id": "subject_aux_inversion_41", "pred": "Was she has quit the game the city hosting due to medical conditions?"}, {"id": "subject_aux_inversion_42", "pred": "Will the customers that come by every Tuesday night gather at our shop tonight?"}, {"id": "subject_aux_inversion_43", "pred": "Is the data analyst he talking to was diagnosed with lung cancer?"}, {"id": "subject_aux_inversion_44", "pred": "Is every child still eating the banana she has been nibbling on since the family dinner?"}, {"id": "subject_aux_inversion_45", "pred": "Are professors are giving class lectures that hosted online?"}, {"id": "subject_aux_inversion_46", "pred": "Will commercial boats that are headed for India from Europe pass through the Suez Canal?"}, {"id": "subject_aux_inversion_47", "pred": "Could elected governments that fail to pull through an economic crisis suffer a more severe political crisis?"}, {"id": "subject_aux_inversion_48", "pred": "Is every married couple still debating the same points of conflict it has been having since the honeymoon ended?"}, {"id": "subject_aux_inversion_49", "pred": "Has every novel she ever published has sold well?"}]}, "qa_congruence_easy": {"predictions": [{"id": "qa_congruence_easy_0", "pred": "A: What did you break?\nB: I broke a bowl."}, {"id": "qa_congruence_easy_1", "pred": "David: Who is playing the guitar?\nSarah: Sarah."}, {"id": "qa_congruence_easy_2", "pred": "What did you make?\nA lamp."}, {"id": "qa_congruence_easy_3", "pred": "David: Who is drawing?\nSarah: A teacher is drawing."}, {"id": "qa_congruence_easy_4", "pred": "Where did you find it?\nI found it eggs."}, {"id": "qa_congruence_easy_5", "pred": "A: Where did you go?\nB: I went a book."}, {"id": "qa_congruence_easy_6", "pred": "A: What did you sell?\nB: Sarah."}, {"id": "qa_congruence_easy_7", "pred": "A: Where did you leave it?\nB: A book."}, {"id": "qa_congruence_easy_8", "pred": "A: Who is sleeping?\nB: A book."}, {"id": "qa_congruence_easy_9", "pred": "Where did you send the package?\nMilk."}, {"id": "qa_congruence_easy_10", "pred": "Who is here?\nA car."}, {"id": "qa_congruence_easy_11", "pred": "David: Where did you leave it?\nSarah: I left it a book."}, {"id": "qa_congruence_easy_12", "pred": "A: Where did you travel to?\nB: A car."}, {"id": "qa_congruence_easy_13", "pred": "David: What did you close?\nSarah: David."}, {"id": "qa_congruence_easy_14", "pred": "A: Where did you drive to?\nB: A chair."}, {"id": "qa_congruence_easy_15", "pred": "A: Who painted that picture?\nB: David."}, {"id": "qa_congruence_easy_16", "pred": "A: Where did you put it?\nB: I put it a sofa."}, {"id": "qa_congruence_easy_17", "pred": "David: Where did you put it?\nSarah: Eggs."}, {"id": "qa_congruence_easy_18", "pred": "Who is drawing?\nEggs."}, {"id": "qa_congruence_easy_19", "pred": "David: Where did you send the package?\nSarah: I sent the package a sofa."}, {"id": "qa_congruence_easy_20", "pred": "Where did you find it?\nI found it a car."}, {"id": "qa_congruence_easy_21", "pred": "David: Who did you see?\nSarah: David."}, {"id": "qa_congruence_easy_22", "pred": "David: Who is sleeping?\nSarah: David is sleeping."}, {"id": "qa_congruence_easy_23", "pred": "A: What did you lock?\nB: David."}, {"id": "qa_congruence_easy_24", "pred": "A: Who did you see?\nB: I saw eggs."}, {"id": "qa_congruence_easy_25", "pred": "David: Who did you see?\nSarah: I saw a teacher."}, {"id": "qa_congruence_easy_26", "pred": "David: What did you cook?\nSarah: Potatoes."}, {"id": "qa_congruence_easy_27", "pred": "Who is talking to you?\nA lamp."}, {"id": "qa_congruence_easy_28", "pred": "Where did you send the package?\nI sent the package eggs."}, {"id": "qa_congruence_easy_29", "pred": "Who kissed you?\nA teacher."}, {"id": "qa_congruence_easy_30", "pred": "Who did you meet?\nA car."}, {"id": "qa_congruence_easy_31", "pred": "David: Who is sleeping?\nSarah: Sarah."}, {"id": "qa_congruence_easy_32", "pred": "A: Where did you send the package?\nB: I sent the package a computer."}, {"id": "qa_congruence_easy_33", "pred": "What did you open?\nI opened the box."}, {"id": "qa_congruence_easy_34", "pred": "What did you close?\nI closed the gate."}, {"id": "qa_congruence_easy_35", "pred": "David: What did you get?\nSarah: I got eggs."}, {"id": "qa_congruence_easy_36", "pred": "A: Where are you headed?\nB: Eggs."}, {"id": "qa_congruence_easy_37", "pred": "A: What did you get?\nB: I got a doctor."}, {"id": "qa_congruence_easy_38", "pred": "A: Where did you travel to?\nB: I traveled eggs."}, {"id": "qa_congruence_easy_39", "pred": "Who is sleeping?\nEggs."}, {"id": "qa_congruence_easy_40", "pred": "A: Who is playing the guitar?\nB: A piano is playing the guitar."}, {"id": "qa_congruence_easy_41", "pred": "Where did you put it?\nI put it a piano."}, {"id": "qa_congruence_easy_42", "pred": "A: What did you cook?\nB: I cooked chicken."}, {"id": "qa_congruence_easy_43", "pred": "A: Who kissed you?\nB: Sarah."}, {"id": "qa_congruence_easy_44", "pred": "What did you make?\nA lamp."}, {"id": "qa_congruence_easy_45", "pred": "Where are you headed?\nA computer."}, {"id": "qa_congruence_easy_46", "pred": "David: What did you sell?\nSarah: I sold a chair."}, {"id": "qa_congruence_easy_47", "pred": "Who did you see?\nI saw a doctor."}, {"id": "qa_congruence_easy_48", "pred": "What did you get?\nI got a chair."}, {"id": "qa_congruence_easy_49", "pred": "David: Who kissed you?\nSarah: A chair kissed you."}]}}
|
nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/blimp/supplement_fast/runtime.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "rocm",
|
| 3 |
+
"cuda_version": null,
|
| 4 |
+
"device": "cuda:1",
|
| 5 |
+
"device_count": 2,
|
| 6 |
+
"device_name": "AMD Instinct MI100",
|
| 7 |
+
"hip_version": "6.2.41134-65d174c3e",
|
| 8 |
+
"python_version": "3.12.3",
|
| 9 |
+
"schema_version": 1,
|
| 10 |
+
"torch_version": "2.6.0+rocm6.2.4"
|
| 11 |
+
}
|
nodes/vavvi/eval/dial_aligned_s1/chck_10M/main/zero_shot/mntp/comps/comps/best_temperature_report.txt
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
TEMPERATURE: 1.00
|
| 2 |
+
|
| 3 |
+
### UID ACCURACY
|
| 4 |
+
wugs_dist_before: 50.94
|
| 5 |
+
base: 50.26
|
| 6 |
+
wugs: 49.27
|
| 7 |
+
wugs_dist_in_between: 50.58
|
| 8 |
+
|
| 9 |
+
### AVERAGE ACCURACY
|
| 10 |
+
50.26
|
| 11 |
+
|