Archive DIAL node nodes/vavvi2-2
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +2 -0
- nodes/vavvi2-2/.pipeline_failed +1 -0
- nodes/vavvi2-2/aoa/dial_aligned_s0/aoa_analysis.json +0 -0
- nodes/vavvi2-2/aoa/dial_aligned_s0/surprisal.json +3 -0
- nodes/vavvi2-2/aoa/dial_shared_s1/aoa_analysis.json +0 -0
- nodes/vavvi2-2/aoa/dial_shared_s1/surprisal.json +3 -0
- nodes/vavvi2-2/coord/coord/preflight_vavvi.json +11 -0
- nodes/vavvi2-2/coord/coord/preflight_vavvi2-1.json +11 -0
- nodes/vavvi2-2/coord/coord/preflight_vavvi2-2.json +11 -0
- nodes/vavvi2-2/coord/coord/terminal_decision.json +52 -0
- nodes/vavvi2-2/coord/coord/training_complete_vavvi.json +32 -0
- nodes/vavvi2-2/coord/coord/training_complete_vavvi2-1.json +32 -0
- nodes/vavvi2-2/coord/coord/training_complete_vavvi2-2.json +20 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/.done_fast_globalpiqa +1 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/.eval.lock +0 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/eval_provenance.json +43 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/blimp/blimp_fast/best_temperature_report.txt +95 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/blimp/blimp_fast/predictions.json +0 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/blimp/blimp_fast/runtime.json +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/blimp/supplement_fast/best_temperature_report.txt +18 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/blimp/supplement_fast/predictions.json +1 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/blimp/supplement_fast/runtime.json +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/comps/comps/best_temperature_report.txt +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/comps/comps/predictions.json +0 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/comps/comps/runtime.json +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/entity_tracking/entity_tracking_fast/best_temperature_report.txt +14 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/entity_tracking/entity_tracking_fast/predictions.json +0 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/entity_tracking/entity_tracking_fast/runtime.json +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/ewok/ewok_fast/best_temperature_report.txt +36 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/ewok/ewok_fast/predictions.json +0 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/ewok/ewok_fast/runtime.json +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_nonparallel/global_piqa_nonparallel/best_temperature_report.txt +107 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_nonparallel/global_piqa_nonparallel/predictions.json +1 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_nonparallel/global_piqa_nonparallel/runtime.json +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_parallel/global_piqa_parallel/best_temperature_report.txt +110 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_parallel/global_piqa_parallel/predictions.json +1 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_parallel/global_piqa_parallel/runtime.json +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/correlations.txt +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/prediction.jsonl +0 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/predictions.json +0 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/predictive_power.jsonl +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/predictive_power_spillover.jsonl +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/report.txt +2 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/runtime.json +11 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_1M/.done_fast_globalpiqa +1 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_1M/.eval.lock +0 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_1M/eval_provenance.json +43 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_1M/main/zero_shot/mntp/blimp/blimp_fast/best_temperature_report.txt +95 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_1M/main/zero_shot/mntp/blimp/blimp_fast/predictions.json +0 -0
- nodes/vavvi2-2/eval/dial_aligned_s0/chck_1M/main/zero_shot/mntp/blimp/blimp_fast/runtime.json +11 -0
.gitattributes
CHANGED
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@@ -74,3 +74,5 @@ nodes/vavvi2-1/aoa/dial_shared_s5/surprisal.json filter=lfs diff=lfs merge=lfs -
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nodes/vavvi2-1/aoa/dial_shuffled_s0/surprisal.json filter=lfs diff=lfs merge=lfs -text
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nodes/vavvi2-1/aoa/dial_shuffled_s1/surprisal.json filter=lfs diff=lfs merge=lfs -text
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nodes/vavvi2-1/aoa/dial_shuffled_s2/surprisal.json filter=lfs diff=lfs merge=lfs -text
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nodes/vavvi2-1/aoa/dial_shuffled_s0/surprisal.json filter=lfs diff=lfs merge=lfs -text
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nodes/vavvi2-1/aoa/dial_shuffled_s1/surprisal.json filter=lfs diff=lfs merge=lfs -text
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nodes/vavvi2-1/aoa/dial_shuffled_s2/surprisal.json filter=lfs diff=lfs merge=lfs -text
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nodes/vavvi2-2/aoa/dial_aligned_s0/surprisal.json filter=lfs diff=lfs merge=lfs -text
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nodes/vavvi2-2/aoa/dial_shared_s1/surprisal.json filter=lfs diff=lfs merge=lfs -text
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nodes/vavvi2-2/.pipeline_failed
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nodes/vavvi2-2/aoa/dial_aligned_s0/aoa_analysis.json
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nodes/vavvi2-2/aoa/dial_aligned_s0/surprisal.json
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nodes/vavvi2-2/aoa/dial_shared_s1/aoa_analysis.json
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nodes/vavvi2-2/aoa/dial_shared_s1/surprisal.json
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nodes/vavvi2-2/coord/coord/preflight_vavvi.json
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nodes/vavvi2-2/coord/coord/preflight_vavvi2-1.json
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{
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"condition": "shared",
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"minimum_words_per_second": 3851.2520605600585,
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"node": "vavvi2-1",
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"rates": {
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"dial_shared_s0": 3851.2520605600585,
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"dial_shared_s1": 3968.123426615688
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"reads_outcomes": false,
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"schema_version": 1
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}
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nodes/vavvi2-2/coord/coord/preflight_vavvi2-2.json
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{
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"condition": "shuffled",
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"minimum_words_per_second": 899.1740095922543,
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"node": "vavvi2-2",
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"rates": {
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"reads_outcomes": false,
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nodes/vavvi2-2/coord/coord/terminal_decision.json
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"decision_basis": "three-node concurrent smoke throughput only",
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"condition": "shared",
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"threshold_hours": 8.5
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nodes/vavvi2-2/coord/coord/training_complete_vavvi.json
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{
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"allocation": {
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"gpu0": [
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"dial_aligned_s1",
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"dial_shared_s2",
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"dial_shuffled_s3",
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"dial_shuffled_s4"
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],
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"gpu1": [
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"dial_aligned_s2",
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"dial_aligned_s3",
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"dial_shared_s4",
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"dial_shuffled_s5"
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]
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},
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| 16 |
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"completed_at_utc": "2026-07-20T04:29:11.046726+00:00",
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| 17 |
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"lineages": 8,
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| 18 |
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"node": "vavvi",
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| 19 |
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"schema_version": 1,
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"sealed_before_outcome_access": true,
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| 21 |
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"terminal_exposure_words": 30000000,
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| 22 |
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"variants": [
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| 23 |
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"dial_aligned_s1",
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| 24 |
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"dial_shared_s2",
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| 25 |
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"dial_shuffled_s3",
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| 26 |
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"dial_shuffled_s4",
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| 27 |
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"dial_aligned_s2",
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| 28 |
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"dial_aligned_s3",
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"dial_shared_s4",
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"dial_shuffled_s5"
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]
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}
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nodes/vavvi2-2/coord/coord/training_complete_vavvi2-1.json
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{
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"allocation": {
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"gpu0": [
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"dial_aligned_s4",
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"dial_shared_s5",
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"dial_shuffled_s0",
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"dial_shuffled_s1"
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],
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"gpu1": [
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"dial_aligned_s5",
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"dial_shared_s0",
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"dial_shared_s3",
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"dial_shuffled_s2"
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]
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},
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"completed_at_utc": "2026-07-20T04:32:23.321768+00:00",
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| 17 |
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"lineages": 8,
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| 18 |
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"node": "vavvi2-1",
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| 19 |
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"schema_version": 1,
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"sealed_before_outcome_access": true,
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| 21 |
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"terminal_exposure_words": 30000000,
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| 22 |
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"variants": [
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| 23 |
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"dial_aligned_s4",
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"dial_shared_s5",
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| 25 |
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"dial_shuffled_s0",
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| 26 |
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"dial_shuffled_s1",
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"dial_aligned_s5",
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| 28 |
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"dial_shared_s0",
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"dial_shared_s3",
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"dial_shuffled_s2"
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]
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}
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nodes/vavvi2-2/coord/coord/training_complete_vavvi2-2.json
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| 1 |
+
{
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| 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/vavvi2-2/eval/dial_aligned_s0/chck_10M/.done_fast_globalpiqa
ADDED
|
@@ -0,0 +1 @@
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| 1 |
+
2026-07-20T07:34:31Z
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/.eval.lock
ADDED
|
File without changes
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/eval_provenance.json
ADDED
|
@@ -0,0 +1,43 @@
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| 1 |
+
{
|
| 2 |
+
"backend": "mntp",
|
| 3 |
+
"checkpoint": "/home/cc/tolm/runs/dial_aligned_s0/chck_10M",
|
| 4 |
+
"corpus_manifest_sha256": "d065f2065712e9c83d73d3aa58e7453205e4ccbea8dcc232b71a57d54dd17d97",
|
| 5 |
+
"corpus_source_sha256": "25bd27eec0d21e0ec3e33a0467c91f9f3d1d6f78adc25369720cc0289e191bf3",
|
| 6 |
+
"created_at": "2026-07-20T06:01:50.787735+00:00",
|
| 7 |
+
"dial_manifest_sha256": "5d72f99411ae628ece4a63b79ae77c00e711a6c66439dd20d0d83459c36aaa5e",
|
| 8 |
+
"dial_scaffold_sha256": "858b53a1460610ca791a55f3fca17f6a7ae529073b2020a35ad78718aacd5b95",
|
| 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": "a56be41604ec53ba8a3ed9b32f33f1cd7e06ae7218c4a1da6a5416ee5ca86d22",
|
| 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/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/blimp/blimp_fast/best_temperature_report.txt
ADDED
|
@@ -0,0 +1,95 @@
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
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|
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|
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|
| 1 |
+
TEMPERATURE: 1.00
|
| 2 |
+
|
| 3 |
+
### FIELD ACCURACY
|
| 4 |
+
syntax: 52.17
|
| 5 |
+
syntax/semantics: 50.14
|
| 6 |
+
morphology: 50.83
|
| 7 |
+
semantics: 53.11
|
| 8 |
+
|
| 9 |
+
### UID ACCURACY
|
| 10 |
+
passive_2: 59.00
|
| 11 |
+
only_npi_scope: 44.50
|
| 12 |
+
tough_vs_raising_1: 41.50
|
| 13 |
+
wh_vs_that_no_gap: 73.50
|
| 14 |
+
coordinate_structure_constraint_complex_left_branch: 42.00
|
| 15 |
+
wh_vs_that_no_gap_long_distance: 66.00
|
| 16 |
+
regular_plural_subject_verb_agreement_2: 53.50
|
| 17 |
+
anaphor_number_agreement: 43.50
|
| 18 |
+
left_branch_island_echo_question: 31.00
|
| 19 |
+
determiner_noun_agreement_with_adj_2: 52.00
|
| 20 |
+
wh_questions_object_gap: 63.50
|
| 21 |
+
wh_questions_subject_gap: 66.00
|
| 22 |
+
principle_A_case_1: 51.00
|
| 23 |
+
irregular_past_participle_verbs: 50.50
|
| 24 |
+
wh_island: 54.00
|
| 25 |
+
determiner_noun_agreement_with_adjective_1: 47.50
|
| 26 |
+
sentential_subject_island: 49.50
|
| 27 |
+
irregular_plural_subject_verb_agreement_1: 50.00
|
| 28 |
+
animate_subject_passive: 56.50
|
| 29 |
+
principle_A_domain_1: 49.50
|
| 30 |
+
left_branch_island_simple_question: 41.50
|
| 31 |
+
principle_A_c_command: 40.50
|
| 32 |
+
existential_there_object_raising: 59.00
|
| 33 |
+
sentential_negation_npi_licensor_present: 67.00
|
| 34 |
+
expletive_it_object_raising: 59.00
|
| 35 |
+
existential_there_subject_raising: 52.00
|
| 36 |
+
coordinate_structure_constraint_object_extraction: 51.00
|
| 37 |
+
principle_A_domain_2: 52.00
|
| 38 |
+
complex_NP_island: 51.50
|
| 39 |
+
distractor_agreement_relative_clause: 52.50
|
| 40 |
+
ellipsis_n_bar_1: 58.50
|
| 41 |
+
npi_present_2: 43.00
|
| 42 |
+
determiner_noun_agreement_irregular_1: 47.50
|
| 43 |
+
adjunct_island: 53.00
|
| 44 |
+
drop_argument: 70.00
|
| 45 |
+
transitive: 46.00
|
| 46 |
+
determiner_noun_agreement_1: 56.00
|
| 47 |
+
tough_vs_raising_2: 62.50
|
| 48 |
+
wh_vs_that_with_gap_long_distance: 29.50
|
| 49 |
+
passive_1: 65.00
|
| 50 |
+
matrix_question_npi_licensor_present: 42.00
|
| 51 |
+
anaphor_gender_agreement: 40.50
|
| 52 |
+
causative: 38.00
|
| 53 |
+
distractor_agreement_relational_noun: 53.50
|
| 54 |
+
ellipsis_n_bar_2: 23.00
|
| 55 |
+
npi_present_1: 47.00
|
| 56 |
+
existential_there_quantifiers_2: 59.00
|
| 57 |
+
principle_A_domain_3: 45.50
|
| 58 |
+
principle_A_reconstruction: 48.00
|
| 59 |
+
animate_subject_trans: 68.00
|
| 60 |
+
determiner_noun_agreement_2: 56.00
|
| 61 |
+
determiner_noun_agreement_with_adj_irregular_1: 53.00
|
| 62 |
+
regular_plural_subject_verb_agreement_1: 44.50
|
| 63 |
+
only_npi_licensor_present: 32.50
|
| 64 |
+
irregular_past_participle_adjectives: 53.00
|
| 65 |
+
determiner_noun_agreement_irregular_2: 58.00
|
| 66 |
+
existential_there_quantifiers_1: 68.50
|
| 67 |
+
principle_A_case_2: 40.50
|
| 68 |
+
determiner_noun_agreement_with_adj_irregular_2: 55.50
|
| 69 |
+
wh_vs_that_with_gap: 28.00
|
| 70 |
+
sentential_negation_npi_scope: 56.50
|
| 71 |
+
irregular_plural_subject_verb_agreement_2: 48.00
|
| 72 |
+
superlative_quantifiers_2: 80.50
|
| 73 |
+
intransitive: 59.50
|
| 74 |
+
inchoative: 45.50
|
| 75 |
+
wh_questions_subject_gap_long_distance: 67.50
|
| 76 |
+
superlative_quantifiers_1: 38.50
|
| 77 |
+
|
| 78 |
+
### LINGUISTICS_TERM ACCURACY
|
| 79 |
+
argument_structure: 54.71
|
| 80 |
+
npi_licensing: 47.50
|
| 81 |
+
control_raising: 54.80
|
| 82 |
+
filler_gap_dependency: 56.29
|
| 83 |
+
island_effects: 46.69
|
| 84 |
+
subject_verb_agreement: 50.33
|
| 85 |
+
anaphor_agreement: 42.00
|
| 86 |
+
determiner_noun_agreement: 53.19
|
| 87 |
+
binding: 46.71
|
| 88 |
+
irregular_forms: 51.75
|
| 89 |
+
s-selection: 62.25
|
| 90 |
+
ellipsis: 40.75
|
| 91 |
+
quantifiers: 61.62
|
| 92 |
+
|
| 93 |
+
### AVERAGE ACCURACY
|
| 94 |
+
51.51
|
| 95 |
+
|
nodes/vavvi2-2/eval/dial_aligned_s0/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/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/blimp/blimp_fast/runtime.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
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|
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|
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|
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|
|
|
|
|
|
| 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/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/blimp/supplement_fast/best_temperature_report.txt
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
TEMPERATURE: 1.00
|
| 2 |
+
|
| 3 |
+
### FIELD ACCURACY
|
| 4 |
+
supplement: 46.80
|
| 5 |
+
|
| 6 |
+
### UID ACCURACY
|
| 7 |
+
turn_taking: 42.00
|
| 8 |
+
qa_congruence_tricky: 38.00
|
| 9 |
+
hypernym: 48.00
|
| 10 |
+
subject_aux_inversion: 64.00
|
| 11 |
+
qa_congruence_easy: 42.00
|
| 12 |
+
|
| 13 |
+
### LINGUISTICS_TERM ACCURACY
|
| 14 |
+
supplement: 46.80
|
| 15 |
+
|
| 16 |
+
### AVERAGE ACCURACY
|
| 17 |
+
46.80
|
| 18 |
+
|
nodes/vavvi2-2/eval/dial_aligned_s0/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, we 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 I 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 she 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 I 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 she 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, you 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, you 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 we 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 we 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, they 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 we 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 she 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 she 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, they 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 I figure it out?\" he asked. \"Yes, she did,\" she said."}, {"id": "turn_taking_41", "pred": "Should they 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 you 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 we 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: An essay 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 it was dirty."}, {"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: A few."}, {"id": "qa_congruence_tricky_28", "pred": "Why do you teach?\nJust because."}, {"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: A book 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: Ten 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: A book."}, {"id": "qa_congruence_tricky_49", "pred": "David: When were you reading?\nSarah: Last week."}]}, "hypernym": {"predictions": [{"id": "hypernym_0", "pred": "If the contractor didn't build a house, it must be the case that the contractor didn't build a mansion."}, {"id": "hypernym_1", "pred": "If he spotted a robin, that means he didn't spot a bird."}, {"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 dinner."}, {"id": "hypernym_4", "pred": "If she isn't growing rosemary, that means she isn't growing herbs."}, {"id": "hypernym_5", "pred": "If the boy didn't break a pc, that means the boy didn't break a computer."}, {"id": "hypernym_6", "pred": "He isn't playing a song, so he isn't playing a ballad."}, {"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 pc, therefore the boy isn't using a computer."}, {"id": "hypernym_13", "pred": "If the boy didn't drink a soda, it must be the case that the boy didn't drink a drink."}, {"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 computer."}, {"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 drink."}, {"id": "hypernym_20", "pred": "If she spotted an eagle, then she spotted a bird."}, {"id": "hypernym_21", "pred": "If he has a dog, it must be the case that he has a poodle."}, {"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 bird."}, {"id": "hypernym_25", "pred": "David has a dog, therefore David has a mammal."}, {"id": "hypernym_26", "pred": "If David isn't consuming cocaine, it must be the case that David isn't consuming a drug."}, {"id": "hypernym_27", "pred": "If he is tuning the guitar, it must be the case that he isn't learning to play a wind instrument."}, {"id": "hypernym_28", "pred": "The boy is eating a meal, therefore the boy is eating food."}, {"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 an anthem, it must be the case that she is playing a song."}, {"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 ballad, then the musician isn't playing a song."}, {"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 wind instrument."}, {"id": "hypernym_46", "pred": "If the couch is made of pine, it must be the case that the couch isn't made of leather."}, {"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": "Should that notorious instance of white-collar crime bring about the passage of a new law that could 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": "Have liberals who been to France are 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 ever designed has toppled over without warning?"}, {"id": "subject_aux_inversion_7", "pred": "Is every undergraduate still occupying the same apartment he has 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": "Is the circus she in charge of was 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 has ever tested crashed and burned miserably?"}, {"id": "subject_aux_inversion_19", "pred": "Has every fast food restaurant is still making TV commercials for the same food it been cooking since they changed their menu?"}, {"id": "subject_aux_inversion_20", "pred": "Has he learned the prelude the conductor was 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 are a curiosity to the dirty little boys that 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 has ever driven 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 has ever taken 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 has ever advised 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": "Is the CEO of the company that believed to be the most successful tech company in the United States was still a reporter five years ago?"}, {"id": "subject_aux_inversion_38", "pred": "Don't CEOs that allow their employees to return home by 5 PM are 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": "Has she quit the game the city was 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 has ever published 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 car 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 teacher."}, {"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?\nDavid."}, {"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 sofa."}, {"id": "qa_congruence_easy_26", "pred": "David: What did you cook?\nSarah: A teacher."}, {"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 doctor."}, {"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?\nDavid."}, {"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 teacher."}, {"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 doctor kissed you."}]}}
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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/vavvi2-2/eval/dial_aligned_s0/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: 49.53
|
| 5 |
+
base: 50.63
|
| 6 |
+
wugs: 49.24
|
| 7 |
+
wugs_dist_in_between: 50.08
|
| 8 |
+
|
| 9 |
+
### AVERAGE ACCURACY
|
| 10 |
+
49.87
|
| 11 |
+
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/comps/comps/predictions.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/comps/comps/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/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/entity_tracking/entity_tracking_fast/best_temperature_report.txt
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
TEMPERATURE: 1.00
|
| 2 |
+
|
| 3 |
+
### UID ACCURACY
|
| 4 |
+
regular_0_ops: 14.31
|
| 5 |
+
regular_1_ops: 16.87
|
| 6 |
+
regular_2_ops: 19.51
|
| 7 |
+
regular_3_ops: 15.53
|
| 8 |
+
regular_4_ops: 20.10
|
| 9 |
+
regular_5_ops: 10.64
|
| 10 |
+
regular: 16.16
|
| 11 |
+
|
| 12 |
+
### AVERAGE ACCURACY
|
| 13 |
+
16.16
|
| 14 |
+
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/entity_tracking/entity_tracking_fast/predictions.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/entity_tracking/entity_tracking_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/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/ewok/ewok_fast/best_temperature_report.txt
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
TEMPERATURE: 1.00
|
| 2 |
+
|
| 3 |
+
### UID ACCURACY
|
| 4 |
+
social-relations: 52.00
|
| 5 |
+
spatial-relations: 49.00
|
| 6 |
+
social-interactions: 55.00
|
| 7 |
+
agent-properties: 52.00
|
| 8 |
+
material-properties: 53.00
|
| 9 |
+
quantitative-properties: 36.00
|
| 10 |
+
material-dynamics: 53.00
|
| 11 |
+
physical-dynamics: 55.00
|
| 12 |
+
physical-interactions: 47.00
|
| 13 |
+
social-properties: 48.00
|
| 14 |
+
physical-relations: 57.00
|
| 15 |
+
|
| 16 |
+
### CONTEXT_TYPE ACCURACY
|
| 17 |
+
indirect: 51.40
|
| 18 |
+
direct: 49.69
|
| 19 |
+
|
| 20 |
+
### CONTEXT_CONTRAST ACCURACY
|
| 21 |
+
variable swap: 53.08
|
| 22 |
+
antonym: 49.00
|
| 23 |
+
other: 55.56
|
| 24 |
+
active-passive: 66.67
|
| 25 |
+
negation: 50.00
|
| 26 |
+
material: 54.68
|
| 27 |
+
number: 27.27
|
| 28 |
+
variable_swap: 50.00
|
| 29 |
+
|
| 30 |
+
### TARGET_CONTRAST ACCURACY
|
| 31 |
+
variable swap: 51.54
|
| 32 |
+
concept swap: 50.40
|
| 33 |
+
|
| 34 |
+
### AVERAGE ACCURACY
|
| 35 |
+
50.64
|
| 36 |
+
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/ewok/ewok_fast/predictions.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/ewok/ewok_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/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_nonparallel/global_piqa_nonparallel/best_temperature_report.txt
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
TEMPERATURE: 1.00
|
| 2 |
+
|
| 3 |
+
### UID ACCURACY
|
| 4 |
+
group0123_ex000088_eng_latn_0_v1: 0.00
|
| 5 |
+
group0123_ex000012_eng_latn_0_v1: 0.00
|
| 6 |
+
group0123_ex000022_eng_latn_0_v1: 0.00
|
| 7 |
+
group0123_ex000102_eng_latn_0_v1: 100.00
|
| 8 |
+
group0123_ex000028_eng_latn_0_v1: 0.00
|
| 9 |
+
group0123_ex000002_eng_latn_0_v1: 0.00
|
| 10 |
+
group0123_ex000081_eng_latn_0_v1: 0.00
|
| 11 |
+
group0123_ex000018_eng_latn_0_v1: 0.00
|
| 12 |
+
group0123_ex000000_eng_latn_0_v1: 100.00
|
| 13 |
+
group0123_ex000046_eng_latn_0_v1: 100.00
|
| 14 |
+
group0123_ex000075_eng_latn_0_v1: 0.00
|
| 15 |
+
group0123_ex000033_eng_latn_0_v1: 0.00
|
| 16 |
+
group0123_ex000073_eng_latn_0_v1: 100.00
|
| 17 |
+
group0123_ex000021_eng_latn_0_v1: 100.00
|
| 18 |
+
group0123_ex000095_eng_latn_0_v1: 0.00
|
| 19 |
+
group0123_ex000013_eng_latn_0_v1: 100.00
|
| 20 |
+
group0123_ex000030_eng_latn_0_v1: 100.00
|
| 21 |
+
group0123_ex000059_eng_latn_0_v1: 100.00
|
| 22 |
+
group0123_ex000089_eng_latn_0_v1: 100.00
|
| 23 |
+
group0123_ex000061_eng_latn_0_v1: 100.00
|
| 24 |
+
group0123_ex000053_eng_latn_0_v1: 0.00
|
| 25 |
+
group0123_ex000076_eng_latn_0_v1: 0.00
|
| 26 |
+
group0123_ex000064_eng_latn_0_v1: 100.00
|
| 27 |
+
group0123_ex000041_eng_latn_0_v1: 0.00
|
| 28 |
+
group0123_ex000031_eng_latn_0_v1: 0.00
|
| 29 |
+
group0123_ex000034_eng_latn_0_v1: 100.00
|
| 30 |
+
group0123_ex000062_eng_latn_0_v1: 100.00
|
| 31 |
+
group0123_ex000036_eng_latn_0_v1: 100.00
|
| 32 |
+
group0123_ex000056_eng_latn_0_v1: 0.00
|
| 33 |
+
group0123_ex000070_eng_latn_0_v1: 0.00
|
| 34 |
+
group0123_ex000045_eng_latn_0_v1: 100.00
|
| 35 |
+
group0123_ex000014_eng_latn_0_v1: 0.00
|
| 36 |
+
group0123_ex000094_eng_latn_0_v1: 100.00
|
| 37 |
+
group0123_ex000052_eng_latn_0_v1: 100.00
|
| 38 |
+
group0123_ex000006_eng_latn_0_v1: 100.00
|
| 39 |
+
group0123_ex000007_eng_latn_0_v1: 0.00
|
| 40 |
+
group0123_ex000091_eng_latn_0_v1: 100.00
|
| 41 |
+
group0123_ex000010_eng_latn_0_v1: 100.00
|
| 42 |
+
group0123_ex000071_eng_latn_0_v1: 0.00
|
| 43 |
+
group0123_ex000072_eng_latn_0_v1: 0.00
|
| 44 |
+
group0123_ex000042_eng_latn_0_v1: 100.00
|
| 45 |
+
group0123_ex000100_eng_latn_0_v1: 100.00
|
| 46 |
+
group0123_ex000039_eng_latn_0_v1: 100.00
|
| 47 |
+
group0123_ex000024_eng_latn_0_v1: 100.00
|
| 48 |
+
group0123_ex000025_eng_latn_0_v1: 0.00
|
| 49 |
+
group0123_ex000029_eng_latn_0_v1: 100.00
|
| 50 |
+
group0123_ex000068_eng_latn_0_v1: 0.00
|
| 51 |
+
group0123_ex000086_eng_latn_0_v1: 100.00
|
| 52 |
+
group0123_ex000020_eng_latn_0_v1: 0.00
|
| 53 |
+
group0123_ex000057_eng_latn_0_v1: 100.00
|
| 54 |
+
group0123_ex000092_eng_latn_0_v1: 0.00
|
| 55 |
+
group0123_ex000037_eng_latn_0_v1: 100.00
|
| 56 |
+
group0123_ex000044_eng_latn_0_v1: 0.00
|
| 57 |
+
group0123_ex000083_eng_latn_0_v1: 100.00
|
| 58 |
+
group0123_ex000008_eng_latn_0_v1: 100.00
|
| 59 |
+
group0123_ex000032_eng_latn_0_v1: 100.00
|
| 60 |
+
group0123_ex000096_eng_latn_0_v1: 100.00
|
| 61 |
+
group0123_ex000084_eng_latn_0_v1: 0.00
|
| 62 |
+
group0123_ex000038_eng_latn_0_v1: 100.00
|
| 63 |
+
group0123_ex000005_eng_latn_0_v1: 0.00
|
| 64 |
+
group0123_ex000058_eng_latn_0_v1: 100.00
|
| 65 |
+
group0123_ex000001_eng_latn_0_v1: 100.00
|
| 66 |
+
group0123_ex000047_eng_latn_0_v1: 0.00
|
| 67 |
+
group0123_ex000069_eng_latn_0_v1: 0.00
|
| 68 |
+
group0123_ex000023_eng_latn_0_v1: 0.00
|
| 69 |
+
group0123_ex000098_eng_latn_0_v1: 100.00
|
| 70 |
+
group0123_ex000011_eng_latn_0_v1: 0.00
|
| 71 |
+
group0123_ex000009_eng_latn_0_v1: 0.00
|
| 72 |
+
group0123_ex000055_eng_latn_0_v1: 100.00
|
| 73 |
+
group0123_ex000027_eng_latn_0_v1: 100.00
|
| 74 |
+
group0123_ex000051_eng_latn_0_v1: 100.00
|
| 75 |
+
group0123_ex000004_eng_latn_0_v1: 0.00
|
| 76 |
+
group0123_ex000080_eng_latn_0_v1: 100.00
|
| 77 |
+
group0123_ex000054_eng_latn_0_v1: 100.00
|
| 78 |
+
group0123_ex000016_eng_latn_0_v1: 100.00
|
| 79 |
+
group0123_ex000066_eng_latn_0_v1: 0.00
|
| 80 |
+
group0123_ex000079_eng_latn_0_v1: 0.00
|
| 81 |
+
group0123_ex000074_eng_latn_0_v1: 0.00
|
| 82 |
+
group0123_ex000090_eng_latn_0_v1: 0.00
|
| 83 |
+
group0123_ex000099_eng_latn_0_v1: 100.00
|
| 84 |
+
group0123_ex000060_eng_latn_0_v1: 0.00
|
| 85 |
+
group0123_ex000085_eng_latn_0_v1: 100.00
|
| 86 |
+
group0123_ex000043_eng_latn_0_v1: 0.00
|
| 87 |
+
group0123_ex000050_eng_latn_0_v1: 100.00
|
| 88 |
+
group0123_ex000077_eng_latn_0_v1: 100.00
|
| 89 |
+
group0123_ex000078_eng_latn_0_v1: 0.00
|
| 90 |
+
group0123_ex000097_eng_latn_0_v1: 100.00
|
| 91 |
+
group0123_ex000067_eng_latn_0_v1: 0.00
|
| 92 |
+
group0123_ex000035_eng_latn_0_v1: 0.00
|
| 93 |
+
group0123_ex000048_eng_latn_0_v1: 0.00
|
| 94 |
+
group0123_ex000040_eng_latn_0_v1: 100.00
|
| 95 |
+
group0123_ex000003_eng_latn_0_v1: 100.00
|
| 96 |
+
group0123_ex000101_eng_latn_0_v1: 100.00
|
| 97 |
+
group0123_ex000082_eng_latn_0_v1: 100.00
|
| 98 |
+
group0123_ex000017_eng_latn_0_v1: 100.00
|
| 99 |
+
group0123_ex000015_eng_latn_0_v1: 100.00
|
| 100 |
+
group0123_ex000063_eng_latn_0_v1: 0.00
|
| 101 |
+
group0123_ex000026_eng_latn_0_v1: 100.00
|
| 102 |
+
group0123_ex000103_eng_latn_0_v1: 100.00
|
| 103 |
+
group0123_ex000049_eng_latn_0_v1: 100.00
|
| 104 |
+
|
| 105 |
+
### AVERAGE ACCURACY
|
| 106 |
+
56.00
|
| 107 |
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nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_nonparallel/global_piqa_nonparallel/predictions.json
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{"group0123_ex000088_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000088_eng_latn_0_v1_0", "pred": " use a waffle iron for the various condiments."}]}, "group0123_ex000012_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000012_eng_latn_0_v1_0", "pred": " tape holiday treats to the wall in pattern of a tree."}]}, "group0123_ex000022_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000022_eng_latn_0_v1_0", "pred": " Add ice cream on top of whipped cream, nuts, and chocolate."}]}, "group0123_ex000102_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000102_eng_latn_0_v1_0", "pred": " bucket."}]}, "group0123_ex000028_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000028_eng_latn_0_v1_0", "pred": " Tackle the opponent before they reach your end zone."}]}, "group0123_ex000002_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000002_eng_latn_0_v1_0", "pred": " use a knife to crimp the edges."}]}, "group0123_ex000081_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000081_eng_latn_0_v1_0", "pred": " bite hard into the candy with your mouth closed in the dark."}]}, "group0123_ex000018_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000018_eng_latn_0_v1_0", "pred": " use an electric knife with the blade pointed away from the bird, and slice thin slices of turkey breast."}]}, "group0123_ex000000_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000000_eng_latn_0_v1_0", "pred": " To make pie crust, you will need flour, sugar, butter, and ice water."}]}, "group0123_ex000046_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000046_eng_latn_0_v1_0", "pred": " Add your dry ingredients to the bowl and stir them together well with a spoon, then add wet ingredients and stir it all together until joins, then use your hands to mix the dough until it forms a solid ball."}]}, "group0123_ex000075_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000075_eng_latn_0_v1_0", "pred": " hit more baseballs than the opposing team."}]}, "group0123_ex000033_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000033_eng_latn_0_v1_0", "pred": " Toast 2 frozen whole-wheat waffles. Spread one with peanut butter and the other with jerky. Sandwich together."}]}, "group0123_ex000073_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000073_eng_latn_0_v1_0", "pred": " Place a banana cut down the middle into a bowl and then place three scoops of ice cream along the banana. Add chocolate syrup on top if you'd like, and then a cherry on top."}]}, "group0123_ex000021_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000021_eng_latn_0_v1_0", "pred": " apply lemon juice to your hair and then sit in the sun."}]}, "group0123_ex000095_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000095_eng_latn_0_v1_0", "pred": " place 2-3 marshmallows in your bag of brown sugar. Replace the marshmallows when they are soft."}]}, "group0123_ex000013_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000013_eng_latn_0_v1_0", "pred": " many people use a pinched grip like they are holding a pencil or throwing a dart. You have much more control if you hold razor in between the handle and razor. In most circumstances try to hold the handle between you middle and pointer finger while steadying the blade with your thumb. Getting behind the neck can be tricky and you may have to modify your grip."}]}, "group0123_ex000030_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000030_eng_latn_0_v1_0", "pred": " Let the plaster harden."}]}, "group0123_ex000059_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000059_eng_latn_0_v1_0", "pred": " place 12 strawberries in a freezer and leave overnight to freeze. Place frozen strawberries in blender with 1/4 cup milk, 1 tablespoon of sugar, 1 cup plain yogurt, and 1/2 teaspoon of vanilla extract. Blend until thick and pureed."}]}, "group0123_ex000089_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000089_eng_latn_0_v1_0", "pred": " tighten the bow then apply violin rosin for 10 strokes."}]}, "group0123_ex000061_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000061_eng_latn_0_v1_0", "pred": " cannot cover a mop."}]}, "group0123_ex000053_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000053_eng_latn_0_v1_0", "pred": " by wrapping brown sugar in parchment paper and put in oven at 300 degrees for a few minutes."}]}, "group0123_ex000076_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000076_eng_latn_0_v1_0", "pred": " Place the metal end into the latch."}]}, "group0123_ex000064_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000064_eng_latn_0_v1_0", "pred": " use the front camera."}]}, "group0123_ex000041_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000041_eng_latn_0_v1_0", "pred": " Mix 2 cups of soda with one cup of sugar in a quart jar. Punch holes in the lid and sprinkle around the outside of your house."}]}, "group0123_ex000031_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000031_eng_latn_0_v1_0", "pred": " spray water on pole to make it slippery."}]}, "group0123_ex000034_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000034_eng_latn_0_v1_0", "pred": " Cover the beverage with wet paper towels and place it in the freezer."}]}, "group0123_ex000062_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000062_eng_latn_0_v1_0", "pred": " You can use an old t-shirt."}]}, "group0123_ex000036_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000036_eng_latn_0_v1_0", "pred": " Put desired number of eggs in a sauce pan and add enough water to cover. Put on a high heat and let the water come to boil. Continue to cook for 4 minutes. Remove from heat and drain."}]}, "group0123_ex000056_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000056_eng_latn_0_v1_0", "pred": " Put the spinach into a bowl. Run water over it constantly, and use your hands and fingers to help wash off any particles."}]}, "group0123_ex000070_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000070_eng_latn_0_v1_0", "pred": " Pour white vinegar into a small spray bottle. Spray the vinegar evenly onto your stovetop. Then sprinkle baking soda evenly across your stovetop. The baking soda will react with the vinegar, creating a fizzy cleaner that will loosen up grease and grime. Next, put a few drops of dish soap into a bucket or your sink, and fill it with cold water. Dunk your towel into the soapy water, then wring it out lightly so that it\u2019s wet but not dripping. Spread the wet towel over the stovetop, covering the baking soda and vinegar. Let it sit for about 15 minutes. Remove the towel and wipe away the remaining baking soda. To finish off, give your stovetop another spray with the vinegar, and use a microfiber cloth to buff it to a sparkling shine."}]}, "group0123_ex000045_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000045_eng_latn_0_v1_0", "pred": " Put a candle wick in the center of a can of crisco, it will last up to 45 days."}]}, "group0123_ex000014_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000014_eng_latn_0_v1_0", "pred": " swat it with a fly swatter then wait until it lands."}]}, "group0123_ex000094_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000094_eng_latn_0_v1_0", "pred": " use a pencil to mark a line in the center of the board before cutting it."}]}, "group0123_ex000052_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000052_eng_latn_0_v1_0", "pred": " Fill the base with sand."}]}, "group0123_ex000006_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000006_eng_latn_0_v1_0", "pred": " 3 cups of strawberries, 3 cups of peaches, 2 tablespoons of honey, and 2/3 cup of vanilla greek yogurt."}]}, "group0123_ex000007_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000007_eng_latn_0_v1_0", "pred": " add vinegar to the water while boiling."}]}, "group0123_ex000091_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000091_eng_latn_0_v1_0", "pred": " Place one foot in front of the other."}]}, "group0123_ex000010_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000010_eng_latn_0_v1_0", "pred": " Turn off the light switch and wait some time for the bulb to cool down if necessary. Place your fingers around the wide part of the bulb, and twist counterclockwise until the bulb comes out."}]}, "group0123_ex000071_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000071_eng_latn_0_v1_0", "pred": " pump the trigger until spray starts coming out then turn the tip of spray nozzle to \"spray\"."}]}, "group0123_ex000072_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000072_eng_latn_0_v1_0", "pred": " Place glass inside the windshield."}]}, "group0123_ex000042_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000042_eng_latn_0_v1_0", "pred": " Carefully cut off any areas which are growing too quickly."}]}, "group0123_ex000100_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000100_eng_latn_0_v1_0", "pred": " can tighten a nut easily."}]}, "group0123_ex000039_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000039_eng_latn_0_v1_0", "pred": " place a slice of ham and a slice of turkey between two slices of bread."}]}, "group0123_ex000024_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000024_eng_latn_0_v1_0", "pred": " Tape the letter on the book cover with masking tape."}]}, "group0123_ex000025_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000025_eng_latn_0_v1_0", "pred": " by placing garlic in a plastic bag under cabinet."}]}, "group0123_ex000029_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000029_eng_latn_0_v1_0", "pred": " with pine needles."}]}, "group0123_ex000068_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000068_eng_latn_0_v1_0", "pred": " by pressing the cherries on an upside down bowl."}]}, "group0123_ex000086_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000086_eng_latn_0_v1_0", "pred": " Peel overripe bananas and mash them with a fork."}]}, "group0123_ex000020_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000020_eng_latn_0_v1_0", "pred": " Rub your fingers on stainless steel, like your chopping board."}]}, "group0123_ex000057_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000057_eng_latn_0_v1_0", "pred": " Use a hair dryer to heat up a spot on the PVC pipe and slowly apply pressure on the area you want to bend. Once you've made a bend to the desired angle and after it has cooled, you can remove the auger."}]}, "group0123_ex000092_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000092_eng_latn_0_v1_0", "pred": " use a hammer."}]}, "group0123_ex000037_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000037_eng_latn_0_v1_0", "pred": " Place some sausage links in a pot and cover with an inch of water. Simmer for ten minutes or until firm. Allow to cool before serving."}]}, "group0123_ex000044_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000044_eng_latn_0_v1_0", "pred": " Wash jeans on hot cycle using laundry soap and oxyclean, repeat if stain is still there."}]}, "group0123_ex000083_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000083_eng_latn_0_v1_0", "pred": " open one end of the can. Flip the can over and open the bottom. Push the paste out like a Push-Up Pop."}]}, "group0123_ex000008_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000008_eng_latn_0_v1_0", "pred": " Use a pot that holds at least eight quarts."}]}, "group0123_ex000032_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000032_eng_latn_0_v1_0", "pred": " Place the clay sticks onto a baking sheet and bake at 350\u00b0F for one minute."}]}, "group0123_ex000096_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000096_eng_latn_0_v1_0", "pred": " don't try to cut all the way through in one go."}]}, "group0123_ex000084_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000084_eng_latn_0_v1_0", "pred": " Place a wet towel on the counter first."}]}, "group0123_ex000038_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000038_eng_latn_0_v1_0", "pred": " Bolt the bike racks above the cars and other furniture."}]}, "group0123_ex000005_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000005_eng_latn_0_v1_0", "pred": " insert a toothpick into the middle of the bread. If it comes out covered in batter it is done."}]}, "group0123_ex000058_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000058_eng_latn_0_v1_0", "pred": " Lift the page up and push it to the left side."}]}, "group0123_ex000001_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000001_eng_latn_0_v1_0", "pred": " preheat oven to 450 degrees Fahrenheit. Toss the broccoli florets with the olive oil, garlic, salt, and pepper. Spread them out on a baking sheet and then roast, without stirring, until the edges are crispy and the stems are crisp tender."}]}, "group0123_ex000047_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000047_eng_latn_0_v1_0", "pred": " use a felt tip pen to melt it free and remove by hand."}]}, "group0123_ex000069_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000069_eng_latn_0_v1_0", "pred": " mix together two tablespoons each of red clay, cornstarch, and tapioca pudding and mix well. You can mix in a bit of cocoa powder if you have dark hair."}]}, "group0123_ex000023_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000023_eng_latn_0_v1_0", "pred": " It is best if a skateboard has two wheels to provide balance and traction."}]}, "group0123_ex000098_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000098_eng_latn_0_v1_0", "pred": " spray WD-40 on the the hinges."}]}, "group0123_ex000011_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000011_eng_latn_0_v1_0", "pred": " remove any nails and fill nail holes with primer."}]}, "group0123_ex000009_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000009_eng_latn_0_v1_0", "pred": " put a piece of plastic wrap under the food on the lower rack."}]}, "group0123_ex000055_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000055_eng_latn_0_v1_0", "pred": " line the plate with plastic wrap then place the cake on it."}]}, "group0123_ex000027_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000027_eng_latn_0_v1_0", "pred": " take a sip of lemonade."}]}, "group0123_ex000051_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000051_eng_latn_0_v1_0", "pred": " dry your hair with a tee shirt instead of a towel."}]}, "group0123_ex000004_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000004_eng_latn_0_v1_0", "pred": " Clean and gut fish. Sprinkle with salt and pepper. Add about an inch of oil in pan, turn stove on low. Once oil is hot, gently put fish in. Fry each side for 5 minutes until crispy yellow brown."}]}, "group0123_ex000080_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000080_eng_latn_0_v1_0", "pred": " Heat it up on the stove top on low temperature."}]}, "group0123_ex000054_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000054_eng_latn_0_v1_0", "pred": " wait for the edges to brown and the top to bubble. Slide the spatula under the pancake so it's centered. Quickly flip your wrist 180 degrees to one side so the pancake flips over evenly."}]}, "group0123_ex000016_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000016_eng_latn_0_v1_0", "pred": " use rubbing alcohol."}]}, "group0123_ex000066_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000066_eng_latn_0_v1_0", "pred": " boil the beans for a day and then rinse them after cooking."}]}, "group0123_ex000079_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000079_eng_latn_0_v1_0", "pred": " wear dark clothing."}]}, "group0123_ex000074_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000074_eng_latn_0_v1_0", "pred": " wrap the chicken in a damp paper towel and heat in the microwave."}]}, "group0123_ex000090_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000090_eng_latn_0_v1_0", "pred": " Use a bucket with a solid lid."}]}, "group0123_ex000099_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000099_eng_latn_0_v1_0", "pred": " rub a pencil tip on the teeth of the zipper."}]}, "group0123_ex000060_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000060_eng_latn_0_v1_0", "pred": " rub a dryer sheet on your brush."}]}, "group0123_ex000085_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000085_eng_latn_0_v1_0", "pred": " by placing a white sock over the head."}]}, "group0123_ex000043_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000043_eng_latn_0_v1_0", "pred": " mashing up egg yolk into a paste."}]}, "group0123_ex000050_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000050_eng_latn_0_v1_0", "pred": " In a large bowl, combine 4 cups half and half light cream, 1 1/2 cups sugar, and 1 tablespoon vanilla. Stir until sugar dissolved. Stir in 2 teaspoons whipping cream. Add 4 cups diced fresh pitted cherries to mixture. Freeze in 4 or 5 quart ice cream freezer according to manufacturers directions. Top with whipped cream and a fresh cherry on top."}]}, "group0123_ex000077_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000077_eng_latn_0_v1_0", "pred": " spray the 9x9 glass pan with cooking spray."}]}, "group0123_ex000078_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000078_eng_latn_0_v1_0", "pred": " put it in the washing machine."}]}, "group0123_ex000097_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000097_eng_latn_0_v1_0", "pred": " Rinse out blender, and add 1 1/2 cups of hot water and about 1 tablespoon of dish soap. Seal lid then turn blender on high for 1 1/2 minutes."}]}, "group0123_ex000067_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000067_eng_latn_0_v1_0", "pred": " Weld the bench vise to a wooden work bench."}]}, "group0123_ex000035_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000035_eng_latn_0_v1_0", "pred": " You should check on the BBQ every 45 minutes to make sure it remains between 225-350\u00b0 C."}]}, "group0123_ex000048_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000048_eng_latn_0_v1_0", "pred": " Turn the knob with 'H' on it."}]}, "group0123_ex000040_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000040_eng_latn_0_v1_0", "pred": " sprinkle salt on carpet every nine days and vacuum every third day."}]}, "group0123_ex000003_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000003_eng_latn_0_v1_0", "pred": " put the jar of honey in boiling water until it becomes runny."}]}, "group0123_ex000101_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000101_eng_latn_0_v1_0", "pred": " can be used to make a robot costume."}]}, "group0123_ex000082_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000082_eng_latn_0_v1_0", "pred": " Let it sit before cutting into it."}]}, "group0123_ex000017_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000017_eng_latn_0_v1_0", "pred": " Mix together 1 1/2 cups cornstarch, 1 cup white school glue, 1 tablespoon white flour, 1 teaspoon lotion, and 1 tablespoon baby oil. Mix and knead until the desired consistancy."}]}, "group0123_ex000015_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000015_eng_latn_0_v1_0", "pred": " Add 35 drops of yellow food coloring and 20 drops of red food coloring to icing. Mix thoroughly before spreading on cake or cupcakes."}]}, "group0123_ex000063_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000063_eng_latn_0_v1_0", "pred": " use a ball-peen hammer."}]}, "group0123_ex000026_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000026_eng_latn_0_v1_0", "pred": " take it out of the fridge about 10-15 minutes before you want to roll it out."}]}, "group0123_ex000103_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000103_eng_latn_0_v1_0", "pred": " Use a disposable razor to cut off the pills."}]}, "group0123_ex000049_eng_latn_0_v1": {"predictions": [{"id": "group0123_ex000049_eng_latn_0_v1_0", "pred": " touch the meat and see if it is soft to the touch."}]}}
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nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_nonparallel/global_piqa_nonparallel/runtime.json
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"device_count": 2,
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"device_name": "AMD Instinct MI100",
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"hip_version": "6.2.41134-65d174c3e",
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"python_version": "3.12.3",
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"schema_version": 1,
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"torch_version": "2.6.0+rocm6.2.4"
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}
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nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_parallel/global_piqa_parallel/best_temperature_report.txt
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| 1 |
+
TEMPERATURE: 1.00
|
| 2 |
+
|
| 3 |
+
### UID ACCURACY
|
| 4 |
+
parallel_ex000000_eng_latn: 0.00
|
| 5 |
+
parallel_ex000001_eng_latn: 0.00
|
| 6 |
+
parallel_ex000002_eng_latn: 0.00
|
| 7 |
+
parallel_ex000003_eng_latn: 0.00
|
| 8 |
+
parallel_ex000004_eng_latn: 0.00
|
| 9 |
+
parallel_ex000005_eng_latn: 100.00
|
| 10 |
+
parallel_ex000008_eng_latn: 0.00
|
| 11 |
+
parallel_ex000009_eng_latn: 100.00
|
| 12 |
+
parallel_ex000010_eng_latn: 100.00
|
| 13 |
+
parallel_ex000011_eng_latn: 100.00
|
| 14 |
+
parallel_ex000013_eng_latn: 0.00
|
| 15 |
+
parallel_ex000014_eng_latn: 100.00
|
| 16 |
+
parallel_ex000015_eng_latn: 0.00
|
| 17 |
+
parallel_ex000016_eng_latn: 0.00
|
| 18 |
+
parallel_ex000017_eng_latn: 0.00
|
| 19 |
+
parallel_ex000018_eng_latn: 0.00
|
| 20 |
+
parallel_ex000020_eng_latn: 100.00
|
| 21 |
+
parallel_ex000021_eng_latn: 100.00
|
| 22 |
+
parallel_ex000022_eng_latn: 0.00
|
| 23 |
+
parallel_ex000023_eng_latn: 0.00
|
| 24 |
+
parallel_ex000024_eng_latn: 0.00
|
| 25 |
+
parallel_ex000025_eng_latn: 100.00
|
| 26 |
+
parallel_ex000026_eng_latn: 0.00
|
| 27 |
+
parallel_ex000027_eng_latn: 0.00
|
| 28 |
+
parallel_ex000028_eng_latn: 0.00
|
| 29 |
+
parallel_ex000029_eng_latn: 0.00
|
| 30 |
+
parallel_ex000030_eng_latn: 0.00
|
| 31 |
+
parallel_ex000031_eng_latn: 0.00
|
| 32 |
+
parallel_ex000032_eng_latn: 0.00
|
| 33 |
+
parallel_ex000033_eng_latn: 0.00
|
| 34 |
+
parallel_ex000034_eng_latn: 0.00
|
| 35 |
+
parallel_ex000035_eng_latn: 0.00
|
| 36 |
+
parallel_ex000036_eng_latn: 0.00
|
| 37 |
+
parallel_ex000037_eng_latn: 0.00
|
| 38 |
+
parallel_ex000038_eng_latn: 0.00
|
| 39 |
+
parallel_ex000039_eng_latn: 0.00
|
| 40 |
+
parallel_ex000040_eng_latn: 0.00
|
| 41 |
+
parallel_ex000041_eng_latn: 0.00
|
| 42 |
+
parallel_ex000042_eng_latn: 0.00
|
| 43 |
+
parallel_ex000043_eng_latn: 0.00
|
| 44 |
+
parallel_ex000044_eng_latn: 0.00
|
| 45 |
+
parallel_ex000045_eng_latn: 0.00
|
| 46 |
+
parallel_ex000046_eng_latn: 0.00
|
| 47 |
+
parallel_ex000047_eng_latn: 0.00
|
| 48 |
+
parallel_ex000048_eng_latn: 0.00
|
| 49 |
+
parallel_ex000049_eng_latn: 0.00
|
| 50 |
+
parallel_ex000050_eng_latn: 0.00
|
| 51 |
+
parallel_ex000051_eng_latn: 0.00
|
| 52 |
+
parallel_ex000053_eng_latn: 0.00
|
| 53 |
+
parallel_ex000054_eng_latn: 0.00
|
| 54 |
+
parallel_ex000055_eng_latn: 0.00
|
| 55 |
+
parallel_ex000056_eng_latn: 0.00
|
| 56 |
+
parallel_ex000057_eng_latn: 100.00
|
| 57 |
+
parallel_ex000058_eng_latn: 0.00
|
| 58 |
+
parallel_ex000059_eng_latn: 0.00
|
| 59 |
+
parallel_ex000061_eng_latn: 0.00
|
| 60 |
+
parallel_ex000062_eng_latn: 0.00
|
| 61 |
+
parallel_ex000063_eng_latn: 100.00
|
| 62 |
+
parallel_ex000064_eng_latn: 0.00
|
| 63 |
+
parallel_ex000065_eng_latn: 0.00
|
| 64 |
+
parallel_ex000066_eng_latn: 100.00
|
| 65 |
+
parallel_ex000067_eng_latn: 0.00
|
| 66 |
+
parallel_ex000068_eng_latn: 0.00
|
| 67 |
+
parallel_ex000069_eng_latn: 100.00
|
| 68 |
+
parallel_ex000070_eng_latn: 0.00
|
| 69 |
+
parallel_ex000071_eng_latn: 0.00
|
| 70 |
+
parallel_ex000072_eng_latn: 100.00
|
| 71 |
+
parallel_ex000073_eng_latn: 0.00
|
| 72 |
+
parallel_ex000074_eng_latn: 0.00
|
| 73 |
+
parallel_ex000075_eng_latn: 0.00
|
| 74 |
+
parallel_ex000076_eng_latn: 100.00
|
| 75 |
+
parallel_ex000077_eng_latn: 0.00
|
| 76 |
+
parallel_ex000078_eng_latn: 100.00
|
| 77 |
+
parallel_ex000079_eng_latn: 0.00
|
| 78 |
+
parallel_ex000080_eng_latn: 0.00
|
| 79 |
+
parallel_ex000081_eng_latn: 0.00
|
| 80 |
+
parallel_ex000082_eng_latn: 0.00
|
| 81 |
+
parallel_ex000083_eng_latn: 0.00
|
| 82 |
+
parallel_ex000084_eng_latn: 100.00
|
| 83 |
+
parallel_ex000085_eng_latn: 100.00
|
| 84 |
+
parallel_ex000086_eng_latn: 0.00
|
| 85 |
+
parallel_ex000087_eng_latn: 0.00
|
| 86 |
+
parallel_ex000088_eng_latn: 0.00
|
| 87 |
+
parallel_ex000089_eng_latn: 0.00
|
| 88 |
+
parallel_ex000090_eng_latn: 0.00
|
| 89 |
+
parallel_ex000091_eng_latn: 100.00
|
| 90 |
+
parallel_ex000092_eng_latn: 0.00
|
| 91 |
+
parallel_ex000093_eng_latn: 0.00
|
| 92 |
+
parallel_ex000094_eng_latn: 0.00
|
| 93 |
+
parallel_ex000095_eng_latn: 100.00
|
| 94 |
+
parallel_ex000096_eng_latn: 0.00
|
| 95 |
+
parallel_ex000097_eng_latn: 100.00
|
| 96 |
+
parallel_ex000098_eng_latn: 0.00
|
| 97 |
+
parallel_ex000099_eng_latn: 100.00
|
| 98 |
+
parallel_ex000100_eng_latn: 100.00
|
| 99 |
+
parallel_ex000101_eng_latn: 0.00
|
| 100 |
+
parallel_ex000102_eng_latn: 0.00
|
| 101 |
+
parallel_ex000103_eng_latn: 0.00
|
| 102 |
+
parallel_ex000104_eng_latn: 100.00
|
| 103 |
+
parallel_ex000105_eng_latn: 0.00
|
| 104 |
+
parallel_ex000106_eng_latn: 0.00
|
| 105 |
+
parallel_ex000107_eng_latn: 0.00
|
| 106 |
+
parallel_ex000108_eng_latn: 100.00
|
| 107 |
+
|
| 108 |
+
### AVERAGE ACCURACY
|
| 109 |
+
23.30
|
| 110 |
+
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_parallel/global_piqa_parallel/predictions.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"parallel_ex000000_eng_latn": {"predictions": [{"id": "parallel_ex000000_eng_latn_0", "pred": " The color of the air in the bag changes"}]}, "parallel_ex000001_eng_latn": {"predictions": [{"id": "parallel_ex000001_eng_latn_0", "pred": " The water breaks the cup"}]}, "parallel_ex000002_eng_latn": {"predictions": [{"id": "parallel_ex000002_eng_latn_0", "pred": " The ball sticks to the window"}]}, "parallel_ex000003_eng_latn": {"predictions": [{"id": "parallel_ex000003_eng_latn_0", "pred": " The ball sticks to the window"}]}, "parallel_ex000004_eng_latn": {"predictions": [{"id": "parallel_ex000004_eng_latn_0", "pred": " The glass blocks all the light from the lightbulb"}]}, "parallel_ex000005_eng_latn": {"predictions": [{"id": "parallel_ex000005_eng_latn_0", "pred": " The center of the fabric gets closer to the ground"}]}, "parallel_ex000008_eng_latn": {"predictions": [{"id": "parallel_ex000008_eng_latn_0", "pred": " January"}]}, "parallel_ex000009_eng_latn": {"predictions": [{"id": "parallel_ex000009_eng_latn_0", "pred": " Saturday"}]}, "parallel_ex000010_eng_latn": {"predictions": [{"id": "parallel_ex000010_eng_latn_0", "pred": " 1936"}]}, "parallel_ex000011_eng_latn": {"predictions": [{"id": "parallel_ex000011_eng_latn_0", "pred": " 1983"}]}, "parallel_ex000013_eng_latn": {"predictions": [{"id": "parallel_ex000013_eng_latn_0", "pred": " 10 AM"}]}, "parallel_ex000014_eng_latn": {"predictions": [{"id": "parallel_ex000014_eng_latn_0", "pred": " South"}]}, "parallel_ex000015_eng_latn": {"predictions": [{"id": "parallel_ex000015_eng_latn_0", "pred": " Mid day"}]}, "parallel_ex000016_eng_latn": {"predictions": [{"id": "parallel_ex000016_eng_latn_0", "pred": " You break it"}]}, "parallel_ex000017_eng_latn": {"predictions": [{"id": "parallel_ex000017_eng_latn_0", "pred": " A stick"}]}, "parallel_ex000018_eng_latn": {"predictions": [{"id": "parallel_ex000018_eng_latn_0", "pred": " Sweeping the floor"}]}, "parallel_ex000020_eng_latn": {"predictions": [{"id": "parallel_ex000020_eng_latn_0", "pred": " A cooking pot"}]}, "parallel_ex000021_eng_latn": {"predictions": [{"id": "parallel_ex000021_eng_latn_0", "pred": " Grapes"}]}, "parallel_ex000022_eng_latn": {"predictions": [{"id": "parallel_ex000022_eng_latn_0", "pred": " Marbles"}]}, "parallel_ex000023_eng_latn": {"predictions": [{"id": "parallel_ex000023_eng_latn_0", "pred": " A shoe"}]}, "parallel_ex000024_eng_latn": {"predictions": [{"id": "parallel_ex000024_eng_latn_0", "pred": " A coin"}]}, "parallel_ex000025_eng_latn": {"predictions": [{"id": "parallel_ex000025_eng_latn_0", "pred": " A piece of rope"}]}, "parallel_ex000026_eng_latn": {"predictions": [{"id": "parallel_ex000026_eng_latn_0", "pred": " Under the table"}]}, "parallel_ex000027_eng_latn": {"predictions": [{"id": "parallel_ex000027_eng_latn_0", "pred": " Under a couch cushion"}]}, "parallel_ex000028_eng_latn": {"predictions": [{"id": "parallel_ex000028_eng_latn_0", "pred": " A paper bag"}]}, "parallel_ex000029_eng_latn": {"predictions": [{"id": "parallel_ex000029_eng_latn_0", "pred": " Ten pairs of glasses"}]}, "parallel_ex000030_eng_latn": {"predictions": [{"id": "parallel_ex000030_eng_latn_0", "pred": " The buckets weigh the same"}]}, "parallel_ex000031_eng_latn": {"predictions": [{"id": "parallel_ex000031_eng_latn_0", "pred": " It depends on the color of the water"}]}, "parallel_ex000032_eng_latn": {"predictions": [{"id": "parallel_ex000032_eng_latn_0", "pred": " Your backpacks weigh the same"}]}, "parallel_ex000033_eng_latn": {"predictions": [{"id": "parallel_ex000033_eng_latn_0", "pred": " Side to side"}]}, "parallel_ex000034_eng_latn": {"predictions": [{"id": "parallel_ex000034_eng_latn_0", "pred": " Your right side"}]}, "parallel_ex000035_eng_latn": {"predictions": [{"id": "parallel_ex000035_eng_latn_0", "pred": " It will be crushed"}]}, "parallel_ex000036_eng_latn": {"predictions": [{"id": "parallel_ex000036_eng_latn_0", "pred": " It will shake"}]}, "parallel_ex000037_eng_latn": {"predictions": [{"id": "parallel_ex000037_eng_latn_0", "pred": " Green"}]}, "parallel_ex000038_eng_latn": {"predictions": [{"id": "parallel_ex000038_eng_latn_0", "pred": " Wood"}]}, "parallel_ex000039_eng_latn": {"predictions": [{"id": "parallel_ex000039_eng_latn_0", "pred": " Swallow then chew thoroughly"}]}, "parallel_ex000040_eng_latn": {"predictions": [{"id": "parallel_ex000040_eng_latn_0", "pred": " Large and thin"}]}, "parallel_ex000041_eng_latn": {"predictions": [{"id": "parallel_ex000041_eng_latn_0", "pred": " The man and the woman are on the same floor"}]}, "parallel_ex000042_eng_latn": {"predictions": [{"id": "parallel_ex000042_eng_latn_0", "pred": " The man and the woman are on the same floor"}]}, "parallel_ex000043_eng_latn": {"predictions": [{"id": "parallel_ex000043_eng_latn_0", "pred": " The paper is next to the book"}]}, "parallel_ex000044_eng_latn": {"predictions": [{"id": "parallel_ex000044_eng_latn_0", "pred": " One cup"}]}, "parallel_ex000045_eng_latn": {"predictions": [{"id": "parallel_ex000045_eng_latn_0", "pred": " You are closer to the ball"}]}, "parallel_ex000046_eng_latn": {"predictions": [{"id": "parallel_ex000046_eng_latn_0", "pred": " The rock floats on the surface"}]}, "parallel_ex000047_eng_latn": {"predictions": [{"id": "parallel_ex000047_eng_latn_0", "pred": " The tunnel is no longer visible from the car"}]}, "parallel_ex000048_eng_latn": {"predictions": [{"id": "parallel_ex000048_eng_latn_0", "pred": " From the side of the shelf"}]}, "parallel_ex000049_eng_latn": {"predictions": [{"id": "parallel_ex000049_eng_latn_0", "pred": " The can is not visible in front of the flour"}]}, "parallel_ex000050_eng_latn": {"predictions": [{"id": "parallel_ex000050_eng_latn_0", "pred": " The coin shatters"}]}, "parallel_ex000051_eng_latn": {"predictions": [{"id": "parallel_ex000051_eng_latn_0", "pred": " The cup shatters"}]}, "parallel_ex000053_eng_latn": {"predictions": [{"id": "parallel_ex000053_eng_latn_0", "pred": " The bookshop and the library have the same number of books"}]}, "parallel_ex000054_eng_latn": {"predictions": [{"id": "parallel_ex000054_eng_latn_0", "pred": " There are no students in classroom B"}]}, "parallel_ex000055_eng_latn": {"predictions": [{"id": "parallel_ex000055_eng_latn_0", "pred": " The theatre and the school have the same number of chairs"}]}, "parallel_ex000056_eng_latn": {"predictions": [{"id": "parallel_ex000056_eng_latn_0", "pred": " All of the cups are in the cupboard"}]}, "parallel_ex000057_eng_latn": {"predictions": [{"id": "parallel_ex000057_eng_latn_0", "pred": " 2.5m x 3m"}]}, "parallel_ex000058_eng_latn": {"predictions": [{"id": "parallel_ex000058_eng_latn_0", "pred": " 10cm"}]}, "parallel_ex000059_eng_latn": {"predictions": [{"id": "parallel_ex000059_eng_latn_0", "pred": " A spoon"}]}, "parallel_ex000061_eng_latn": {"predictions": [{"id": "parallel_ex000061_eng_latn_0", "pred": " One should twist to their left, the other to their right"}]}, "parallel_ex000062_eng_latn": {"predictions": [{"id": "parallel_ex000062_eng_latn_0", "pred": " Your left shoulder"}]}, "parallel_ex000063_eng_latn": {"predictions": [{"id": "parallel_ex000063_eng_latn_0", "pred": " A tin can"}]}, "parallel_ex000064_eng_latn": {"predictions": [{"id": "parallel_ex000064_eng_latn_0", "pred": " The side of the house that faces the sun"}]}, "parallel_ex000065_eng_latn": {"predictions": [{"id": "parallel_ex000065_eng_latn_0", "pred": " Without oven mitts, grab it from both sides and carefully lift it out of the oven"}]}, "parallel_ex000066_eng_latn": {"predictions": [{"id": "parallel_ex000066_eng_latn_0", "pred": " A razor blade"}]}, "parallel_ex000067_eng_latn": {"predictions": [{"id": "parallel_ex000067_eng_latn_0", "pred": " A kitchen knife"}]}, "parallel_ex000068_eng_latn": {"predictions": [{"id": "parallel_ex000068_eng_latn_0", "pred": " Shoes, socks, then pants"}]}, "parallel_ex000069_eng_latn": {"predictions": [{"id": "parallel_ex000069_eng_latn_0", "pred": " Nylon shirts"}]}, "parallel_ex000070_eng_latn": {"predictions": [{"id": "parallel_ex000070_eng_latn_0", "pred": " Drink all your water as soon as you start the hike"}]}, "parallel_ex000071_eng_latn": {"predictions": [{"id": "parallel_ex000071_eng_latn_0", "pred": " The wick should be the same length as the height of the candle wax"}]}, "parallel_ex000072_eng_latn": {"predictions": [{"id": "parallel_ex000072_eng_latn_0", "pred": " They will make the same amount of water overflow"}]}, "parallel_ex000073_eng_latn": {"predictions": [{"id": "parallel_ex000073_eng_latn_0", "pred": " An alcohol-soaked leather pad"}]}, "parallel_ex000074_eng_latn": {"predictions": [{"id": "parallel_ex000074_eng_latn_0", "pred": " Wrap the cup with paper"}]}, "parallel_ex000075_eng_latn": {"predictions": [{"id": "parallel_ex000075_eng_latn_0", "pred": " 10 liters"}]}, "parallel_ex000076_eng_latn": {"predictions": [{"id": "parallel_ex000076_eng_latn_0", "pred": " Do not cover it"}]}, "parallel_ex000077_eng_latn": {"predictions": [{"id": "parallel_ex000077_eng_latn_0", "pred": " A sock"}]}, "parallel_ex000078_eng_latn": {"predictions": [{"id": "parallel_ex000078_eng_latn_0", "pred": " In the refrigerator"}]}, "parallel_ex000079_eng_latn": {"predictions": [{"id": "parallel_ex000079_eng_latn_0", "pred": " The car has new tires"}]}, "parallel_ex000080_eng_latn": {"predictions": [{"id": "parallel_ex000080_eng_latn_0", "pred": " They will freeze at the same rate"}]}, "parallel_ex000081_eng_latn": {"predictions": [{"id": "parallel_ex000081_eng_latn_0", "pred": " Flatten out the towel and fold it once in half"}]}, "parallel_ex000082_eng_latn": {"predictions": [{"id": "parallel_ex000082_eng_latn_0", "pred": " An echoing sound"}]}, "parallel_ex000083_eng_latn": {"predictions": [{"id": "parallel_ex000083_eng_latn_0", "pred": " More than 20cm"}]}, "parallel_ex000084_eng_latn": {"predictions": [{"id": "parallel_ex000084_eng_latn_0", "pred": " No"}]}, "parallel_ex000085_eng_latn": {"predictions": [{"id": "parallel_ex000085_eng_latn_0", "pred": " Make animal shapes with your hand, then place your hand between the lamp and the wall"}]}, "parallel_ex000086_eng_latn": {"predictions": [{"id": "parallel_ex000086_eng_latn_0", "pred": " The glass would hold the ice"}]}, "parallel_ex000087_eng_latn": {"predictions": [{"id": "parallel_ex000087_eng_latn_0", "pred": " Sugar and water, flour and oil"}]}, "parallel_ex000088_eng_latn": {"predictions": [{"id": "parallel_ex000088_eng_latn_0", "pred": " Two glasses of 0.2L and one glass of 0.5L"}]}, "parallel_ex000089_eng_latn": {"predictions": [{"id": "parallel_ex000089_eng_latn_0", "pred": " Wrap the egg with the paper, then put it next to the cup"}]}, "parallel_ex000090_eng_latn": {"predictions": [{"id": "parallel_ex000090_eng_latn_0", "pred": " The water will move towards the bottom of the truck"}]}, "parallel_ex000091_eng_latn": {"predictions": [{"id": "parallel_ex000091_eng_latn_0", "pred": " Blue and yellow"}]}, "parallel_ex000092_eng_latn": {"predictions": [{"id": "parallel_ex000092_eng_latn_0", "pred": " One drop of red and one drop of blue"}]}, "parallel_ex000093_eng_latn": {"predictions": [{"id": "parallel_ex000093_eng_latn_0", "pred": " Fill a bag with water"}]}, "parallel_ex000094_eng_latn": {"predictions": [{"id": "parallel_ex000094_eng_latn_0", "pred": " Folding the laundry"}]}, "parallel_ex000095_eng_latn": {"predictions": [{"id": "parallel_ex000095_eng_latn_0", "pred": " Behind you"}]}, "parallel_ex000096_eng_latn": {"predictions": [{"id": "parallel_ex000096_eng_latn_0", "pred": " You are following your friend"}]}, "parallel_ex000097_eng_latn": {"predictions": [{"id": "parallel_ex000097_eng_latn_0", "pred": " The left car would swerve left, and the right car would not swerve"}]}, "parallel_ex000098_eng_latn": {"predictions": [{"id": "parallel_ex000098_eng_latn_0", "pred": " 200km"}]}, "parallel_ex000099_eng_latn": {"predictions": [{"id": "parallel_ex000099_eng_latn_0", "pred": " 9:15 AM"}]}, "parallel_ex000100_eng_latn": {"predictions": [{"id": "parallel_ex000100_eng_latn_0", "pred": " Wednesday"}]}, "parallel_ex000101_eng_latn": {"predictions": [{"id": "parallel_ex000101_eng_latn_0", "pred": " 10:00 AM"}]}, "parallel_ex000102_eng_latn": {"predictions": [{"id": "parallel_ex000102_eng_latn_0", "pred": " Soap and water"}]}, "parallel_ex000103_eng_latn": {"predictions": [{"id": "parallel_ex000103_eng_latn_0", "pred": " Leave the garlic in the sun"}]}, "parallel_ex000104_eng_latn": {"predictions": [{"id": "parallel_ex000104_eng_latn_0", "pred": " Tree leaves"}]}, "parallel_ex000105_eng_latn": {"predictions": [{"id": "parallel_ex000105_eng_latn_0", "pred": " The meat is firm"}]}, "parallel_ex000106_eng_latn": {"predictions": [{"id": "parallel_ex000106_eng_latn_0", "pred": " A table"}]}, "parallel_ex000107_eng_latn": {"predictions": [{"id": "parallel_ex000107_eng_latn_0", "pred": " Dark colored clothing"}]}, "parallel_ex000108_eng_latn": {"predictions": [{"id": "parallel_ex000108_eng_latn_0", "pred": " A bucket"}]}}
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/global_piqa_parallel/global_piqa_parallel/runtime.json
ADDED
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{
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"backend": "rocm",
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"cuda_version": null,
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| 4 |
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"device": "cuda:1",
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| 5 |
+
"device_count": 2,
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| 6 |
+
"device_name": "AMD Instinct MI100",
|
| 7 |
+
"hip_version": "6.2.41134-65d174c3e",
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| 8 |
+
"python_version": "3.12.3",
|
| 9 |
+
"schema_version": 1,
|
| 10 |
+
"torch_version": "2.6.0+rocm6.2.4"
|
| 11 |
+
}
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/correlations.txt
ADDED
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| 1 |
+
RTfirstfix 0.4414
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| 2 |
+
RTfirstpass 0.4991
|
| 3 |
+
RTgopast 0.7309
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| 4 |
+
RTrightbound 0.5568
|
| 5 |
+
self_paced_reading_time 0.2768
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| 6 |
+
ELAN 0.1476
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| 7 |
+
LAN 0.3813
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| 8 |
+
N400 0.3617
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| 9 |
+
P600 0.4881
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| 10 |
+
EPNP 0.4592
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| 11 |
+
PNP 0.4616
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nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/prediction.jsonl
ADDED
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nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/predictions.json
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nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/predictive_power.jsonl
ADDED
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{"Predicted variable": "RTfirstfix", "Coefficient": 0.8878134272409541, "Number of standard deviations": 3.6990529857596677, "P-value": 0.00022333617823334646, "R2": 0.6469423513731694, "Change in R2 from baseline": 0.002861898893211867, "AIC": 16393.019273750626, "Change in AIC from baseline": -11.692420328934531}
|
| 2 |
+
{"Predicted variable": "RTfirstpass", "Coefficient": 2.2766236837976876, "Number of standard deviations": 6.858006503397313, "P-value": 9.764134451715615e-12, "R2": 0.6539662051196511, "Change in R2 from baseline": 0.009641439014686615, "AIC": 17493.20498389518, "Change in AIC from baseline": -44.60880512139556}
|
| 3 |
+
{"Predicted variable": "RTgopast", "Coefficient": 22.44066760763895, "Number of standard deviations": 26.50398077072975, "P-value": 1.0406925196145163e-129, "R2": 0.6745361584271459, "Change in R2 from baseline": 0.13544173847128005, "AIC": 20669.145400504753, "Change in AIC from baseline": -588.1093552401762}
|
| 4 |
+
{"Predicted variable": "RTrightbound", "Coefficient": 4.606316661571576, "Number of standard deviations": 11.244545220554759, "P-value": 2.437089588168457e-28, "R2": 0.6452433346384076, "Change in R2 from baseline": 0.026573081060269677, "AIC": 18206.436429184163, "Change in AIC from baseline": -120.50610330088966}
|
| 5 |
+
{"Predicted variable": "self_paced_reading_time", "Coefficient": 1.4130460297762295, "Number of standard deviations": 7.563122147231342, "P-value": 6.42614043898268e-14, "R2": 0.09866894608136201, "Change in R2 from baseline": 0.030543170807850406, "AIC": 15543.43891155953, "Change in AIC from baseline": -54.519596886759246}
|
| 6 |
+
{"Predicted variable": "ELAN", "Coefficient": 0.016582854435727844, "Number of standard deviations": 1.9181310409069343, "P-value": 0.055262937038764344, "R2": 0.06566938383328336, "Change in R2 from baseline": 0.0020365012679914862, "AIC": 5119.141559856753, "Change in AIC from baseline": -1.692640935952113}
|
| 7 |
+
{"Predicted variable": "LAN", "Coefficient": 0.1553268951427491, "Number of standard deviations": 16.814608733120235, "P-value": 8.813379659347965e-59, "R2": 0.2479306606927033, "Change in R2 from baseline": 0.1259676342689361, "AIC": 5343.915223039615, "Change in AIC from baseline": -260.6428613086282}
|
| 8 |
+
{"Predicted variable": "N400", "Coefficient": 0.11033740668521601, "Number of standard deviations": 13.888198556797173, "P-value": 1.3233817192621355e-41, "R2": 0.24801052452240935, "Change in R2 from baseline": 0.0859272976845491, "AIC": 4832.468543084493, "Change in AIC from baseline": -181.50118096032566}
|
| 9 |
+
{"Predicted variable": "P600", "Coefficient": 0.09648270621355295, "Number of standard deviations": 14.125494290126401, "P-value": 6.637217530102631e-43, "R2": 0.28757725590382555, "Change in R2 from baseline": 0.08421174009555499, "AIC": 4319.865981668626, "Change in AIC from baseline": -187.48472164875147}
|
| 10 |
+
{"Predicted variable": "EPNP", "Coefficient": 0.1187497326696147, "Number of standard deviations": 18.51343362844062, "P-value": 8.204692973774772e-70, "R2": 0.2619773944141015, "Change in R2 from baseline": 0.14985497620927724, "AIC": 4106.641705104906, "Change in AIC from baseline": -311.5215765633975}
|
| 11 |
+
{"Predicted variable": "PNP", "Coefficient": 0.10837059145651068, "Number of standard deviations": 14.920601598920802, "P-value": 2.205181706865584e-47, "R2": 0.2642417072412325, "Change in R2 from baseline": 0.09703655995751503, "AIC": 4528.241047648864, "Change in AIC from baseline": -208.11011051838068}
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/predictive_power_spillover.jsonl
ADDED
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| 1 |
+
{"Predicted variable": "RTfirstfix", "Coefficient": 1.0533754209376704, "Number of standard deviations": 4.453988003528635, "P-value": 9.062560929855455e-06, "R2": 0.7054586256206128, "Change in R2 from baseline": 0.00395071972666905, "AIC": 14307.399600100682, "Change in AIC from baseline": -17.932649543607113}
|
| 2 |
+
{"Predicted variable": "RTfirstpass", "Coefficient": 2.2627471135990183, "Number of standard deviations": 7.0596134066847345, "P-value": 2.5592127968905986e-12, "R2": 0.7072281415166977, "Change in R2 from baseline": 0.009865588435571171, "AIC": 15216.936187270714, "Change in AIC from baseline": -47.58025027353324}
|
| 3 |
+
{"Predicted variable": "RTgopast", "Coefficient": 24.00575512883633, "Number of standard deviations": 27.032527386119572, "P-value": 4.028951843642681e-131, "R2": 0.7056213941753353, "Change in R2 from baseline": 0.1454492122400164, "AIC": 18265.97393798306, "Change in AIC from baseline": -598.6688544898461}
|
| 4 |
+
{"Predicted variable": "RTrightbound", "Coefficient": 4.894782270201018, "Number of standard deviations": 11.90186415142791, "P-value": 2.941125454040412e-31, "R2": 0.6866711260772341, "Change in R2 from baseline": 0.030009739233111232, "AIC": 15962.798209871098, "Change in AIC from baseline": -134.8298690770389}
|
| 5 |
+
{"Predicted variable": "self_paced_reading_time", "Coefficient": 1.4240347880428148, "Number of standard deviations": 7.696211195316767, "P-value": 2.5466057918567928e-14, "R2": 0.14679787059469784, "Change in R2 from baseline": 0.034169428134108615, "AIC": 13573.061873922004, "Change in AIC from baseline": -56.74388767548953}
|
| 6 |
+
{"Predicted variable": "ELAN", "Coefficient": 0.024683920864912626, "Number of standard deviations": 2.7968169790277964, "P-value": 0.005227698259784249, "R2": 0.08031948853665205, "Change in R2 from baseline": 0.00486403738913932, "AIC": 4468.850816985385, "Change in AIC from baseline": -5.891245990589596}
|
| 7 |
+
{"Predicted variable": "LAN", "Coefficient": 0.16280245012155814, "Number of standard deviations": 16.952685938176987, "P-value": 4.785971137374542e-59, "R2": 0.2662481072790721, "Change in R2 from baseline": 0.14257983028142696, "AIC": 4721.49871519577, "Change in AIC from baseline": -263.65032674696795}
|
| 8 |
+
{"Predicted variable": "N400", "Coefficient": 0.11589049917387864, "Number of standard deviations": 14.056087918679786, "P-value": 3.235896016529135e-42, "R2": 0.27653671037000505, "Change in R2 from baseline": 0.0966445247344131, "AIC": 4265.15572537754, "Change in AIC from baseline": -185.57746757273344}
|
| 9 |
+
{"Predicted variable": "P600", "Coefficient": 0.10549566771883864, "Number of standard deviations": 14.854040770257942, "P-value": 1.2597962437114408e-46, "R2": 0.3192853983895, "Change in R2 from baseline": 0.10155144692652796, "AIC": 3818.7726238642504, "Change in AIC from baseline": -206.02144359200656}
|
| 10 |
+
{"Predicted variable": "EPNP", "Coefficient": 0.12671610200164757, "Number of standard deviations": 18.95389587195386, "P-value": 6.830297652854002e-72, "R2": 0.27126230687236597, "Change in R2 from baseline": 0.17701091224629806, "AIC": 3637.8814373709524, "Change in AIC from baseline": -323.3021184660797}
|
| 11 |
+
{"Predicted variable": "PNP", "Coefficient": 0.11541936156227016, "Number of standard deviations": 15.124190298591236, "P-value": 3.689033178721671e-48, "R2": 0.28800210652996194, "Change in R2 from baseline": 0.11011710903840988, "AIC": 4033.833680829409, "Change in AIC from baseline": -213.1327859475341}
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/report.txt
ADDED
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| 1 |
+
EYE TRACKING SCORE: 9.97
|
| 2 |
+
SELF-PACED READING SCORE: 3.85
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_10M/main/zero_shot/mntp/reading/runtime.json
ADDED
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{
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| 2 |
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"backend": "rocm",
|
| 3 |
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"cuda_version": null,
|
| 4 |
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"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/vavvi2-2/eval/dial_aligned_s0/chck_1M/.done_fast_globalpiqa
ADDED
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| 1 |
+
2026-07-20T06:00:48Z
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_1M/.eval.lock
ADDED
|
File without changes
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nodes/vavvi2-2/eval/dial_aligned_s0/chck_1M/eval_provenance.json
ADDED
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{
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| 2 |
+
"backend": "mntp",
|
| 3 |
+
"checkpoint": "/home/cc/tolm/runs/dial_aligned_s0/chck_1M",
|
| 4 |
+
"corpus_manifest_sha256": "d065f2065712e9c83d73d3aa58e7453205e4ccbea8dcc232b71a57d54dd17d97",
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| 5 |
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"corpus_source_sha256": "25bd27eec0d21e0ec3e33a0467c91f9f3d1d6f78adc25369720cc0289e191bf3",
|
| 6 |
+
"created_at": "2026-07-20T04:33:34.968977+00:00",
|
| 7 |
+
"dial_manifest_sha256": "5d72f99411ae628ece4a63b79ae77c00e711a6c66439dd20d0d83459c36aaa5e",
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| 8 |
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"dial_scaffold_sha256": "858b53a1460610ca791a55f3fca17f6a7ae529073b2020a35ad78718aacd5b95",
|
| 9 |
+
"document_order_sha256": null,
|
| 10 |
+
"evaluator": {
|
| 11 |
+
"git_commit": "4801dd53667b94977d21ed069be96e52655db0ac",
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| 12 |
+
"git_dirty": false,
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| 13 |
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"source_sha256": "cba7ce5bb1257238db3d146c10b1d8108d3303d2849588ea8131d8334e46bb14",
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| 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 |
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"factorization_manifest_sha256": null,
|
| 21 |
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"influence_preflight_sha256": null,
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| 22 |
+
"model_sha256": "18b16bf6bdb019b60a8eb1f807591bae07b82c6be4f46bfeaace4a5eff4bc6f5",
|
| 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 |
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"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 |
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"structured_priors_manifest_sha256": null,
|
| 41 |
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"tokenizer_sha256": "2b8d1b3f51c0d8f276a64ea6a69efa50b4d9899780f1b282b4d0dcb7be5bbb0f",
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| 42 |
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"tolm_sha256": "604eb005807b93b3a0c2145851c78f8d61a6f2e27d0fedf0889de844ee8e1713"
|
| 43 |
+
}
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_1M/main/zero_shot/mntp/blimp/blimp_fast/best_temperature_report.txt
ADDED
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| 1 |
+
TEMPERATURE: 1.00
|
| 2 |
+
|
| 3 |
+
### FIELD ACCURACY
|
| 4 |
+
syntax: 51.19
|
| 5 |
+
syntax/semantics: 49.14
|
| 6 |
+
morphology: 50.97
|
| 7 |
+
semantics: 49.33
|
| 8 |
+
|
| 9 |
+
### UID ACCURACY
|
| 10 |
+
passive_2: 56.00
|
| 11 |
+
only_npi_scope: 52.50
|
| 12 |
+
tough_vs_raising_1: 36.00
|
| 13 |
+
wh_vs_that_no_gap: 52.00
|
| 14 |
+
coordinate_structure_constraint_complex_left_branch: 51.00
|
| 15 |
+
wh_vs_that_no_gap_long_distance: 49.50
|
| 16 |
+
regular_plural_subject_verb_agreement_2: 52.00
|
| 17 |
+
anaphor_number_agreement: 44.00
|
| 18 |
+
left_branch_island_echo_question: 43.00
|
| 19 |
+
determiner_noun_agreement_with_adj_2: 47.50
|
| 20 |
+
wh_questions_object_gap: 47.50
|
| 21 |
+
wh_questions_subject_gap: 52.00
|
| 22 |
+
principle_A_case_1: 46.50
|
| 23 |
+
irregular_past_participle_verbs: 54.00
|
| 24 |
+
wh_island: 52.50
|
| 25 |
+
determiner_noun_agreement_with_adjective_1: 49.50
|
| 26 |
+
sentential_subject_island: 48.00
|
| 27 |
+
irregular_plural_subject_verb_agreement_1: 46.00
|
| 28 |
+
animate_subject_passive: 53.50
|
| 29 |
+
principle_A_domain_1: 47.50
|
| 30 |
+
left_branch_island_simple_question: 50.00
|
| 31 |
+
principle_A_c_command: 42.00
|
| 32 |
+
existential_there_object_raising: 55.00
|
| 33 |
+
sentential_negation_npi_licensor_present: 43.50
|
| 34 |
+
expletive_it_object_raising: 55.50
|
| 35 |
+
existential_there_subject_raising: 56.00
|
| 36 |
+
coordinate_structure_constraint_object_extraction: 50.00
|
| 37 |
+
principle_A_domain_2: 50.50
|
| 38 |
+
complex_NP_island: 49.00
|
| 39 |
+
distractor_agreement_relative_clause: 49.50
|
| 40 |
+
ellipsis_n_bar_1: 50.50
|
| 41 |
+
npi_present_2: 44.50
|
| 42 |
+
determiner_noun_agreement_irregular_1: 47.50
|
| 43 |
+
adjunct_island: 50.00
|
| 44 |
+
drop_argument: 72.00
|
| 45 |
+
transitive: 43.50
|
| 46 |
+
determiner_noun_agreement_1: 51.00
|
| 47 |
+
tough_vs_raising_2: 59.00
|
| 48 |
+
wh_vs_that_with_gap_long_distance: 51.00
|
| 49 |
+
passive_1: 65.50
|
| 50 |
+
matrix_question_npi_licensor_present: 45.50
|
| 51 |
+
anaphor_gender_agreement: 49.00
|
| 52 |
+
causative: 42.00
|
| 53 |
+
distractor_agreement_relational_noun: 52.00
|
| 54 |
+
ellipsis_n_bar_2: 26.00
|
| 55 |
+
npi_present_1: 49.50
|
| 56 |
+
existential_there_quantifiers_2: 56.50
|
| 57 |
+
principle_A_domain_3: 47.00
|
| 58 |
+
principle_A_reconstruction: 47.00
|
| 59 |
+
animate_subject_trans: 74.00
|
| 60 |
+
determiner_noun_agreement_2: 54.50
|
| 61 |
+
determiner_noun_agreement_with_adj_irregular_1: 51.00
|
| 62 |
+
regular_plural_subject_verb_agreement_1: 47.00
|
| 63 |
+
only_npi_licensor_present: 54.50
|
| 64 |
+
irregular_past_participle_adjectives: 54.00
|
| 65 |
+
determiner_noun_agreement_irregular_2: 58.00
|
| 66 |
+
existential_there_quantifiers_1: 51.50
|
| 67 |
+
principle_A_case_2: 40.00
|
| 68 |
+
determiner_noun_agreement_with_adj_irregular_2: 57.50
|
| 69 |
+
wh_vs_that_with_gap: 47.50
|
| 70 |
+
sentential_negation_npi_scope: 53.50
|
| 71 |
+
irregular_plural_subject_verb_agreement_2: 53.50
|
| 72 |
+
superlative_quantifiers_2: 49.00
|
| 73 |
+
intransitive: 62.00
|
| 74 |
+
inchoative: 43.00
|
| 75 |
+
wh_questions_subject_gap_long_distance: 50.00
|
| 76 |
+
superlative_quantifiers_1: 49.50
|
| 77 |
+
|
| 78 |
+
### LINGUISTICS_TERM ACCURACY
|
| 79 |
+
argument_structure: 54.86
|
| 80 |
+
npi_licensing: 49.07
|
| 81 |
+
control_raising: 52.30
|
| 82 |
+
filler_gap_dependency: 49.93
|
| 83 |
+
island_effects: 49.19
|
| 84 |
+
subject_verb_agreement: 50.00
|
| 85 |
+
anaphor_agreement: 46.50
|
| 86 |
+
determiner_noun_agreement: 52.06
|
| 87 |
+
binding: 45.79
|
| 88 |
+
irregular_forms: 54.00
|
| 89 |
+
s-selection: 63.75
|
| 90 |
+
ellipsis: 38.25
|
| 91 |
+
quantifiers: 51.62
|
| 92 |
+
|
| 93 |
+
### AVERAGE ACCURACY
|
| 94 |
+
50.46
|
| 95 |
+
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_1M/main/zero_shot/mntp/blimp/blimp_fast/predictions.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
nodes/vavvi2-2/eval/dial_aligned_s0/chck_1M/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:0",
|
| 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 |
+
}
|