Upload folder using huggingface_hub
#824
by
DavidNguyen
- opened
- .gitattributes +5 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/ai2d.json +0 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/infovqa_val.json +3 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmbench_en_dev.json +3 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mme.json +0 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmerealworld_lite.json +3 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmmu_pro_standard.json +0 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmmu_val.json +0 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmstar.json +0 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/rank0_metric_eval_done.txt +1 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/rank1_metric_eval_done.txt +1 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/rank2_metric_eval_done.txt +1 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/rank3_metric_eval_done.txt +1 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/results.json +729 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/scienceqa_img.json +0 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/seedbench_2_plus.json +0 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/submissions/mmbench_en_dev_results.json +1 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/submissions/mmbench_en_dev_results.xlsx +3 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/submissions/textvqa_submission_2025-07-17-18-19-58.json +0 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/textvqa_val.json +3 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/ocrbench.json +0 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/rank0_metric_eval_done.txt +1 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/rank1_metric_eval_done.txt +1 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/rank2_metric_eval_done.txt +1 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/rank3_metric_eval_done.txt +1 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/results.json +67 -0
- sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/results/ocrbench_results.txt +18 -0
.gitattributes
CHANGED
|
@@ -385,3 +385,8 @@ sft/665K36/revise_Full_smoe_sharev3/logs/0717_1127_llava...l_mme_llava_model_arg
|
|
| 385 |
sft/665K36/revise_Full_smoe_sharev3/logs/0717_1127_llava...l_mme_llava_model_args_5a2714/mmerealworld_lite.json filter=lfs diff=lfs merge=lfs -text
|
| 386 |
sft/665K36/revise_Full_smoe_sharev3/logs/0717_1127_llava...l_mme_llava_model_args_5a2714/submissions/mmbench_en_dev_results.xlsx filter=lfs diff=lfs merge=lfs -text
|
| 387 |
sft/665K36/revise_Full_smoe_sharev3/logs/0717_1127_llava...l_mme_llava_model_args_5a2714/textvqa_val.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 385 |
sft/665K36/revise_Full_smoe_sharev3/logs/0717_1127_llava...l_mme_llava_model_args_5a2714/mmerealworld_lite.json filter=lfs diff=lfs merge=lfs -text
|
| 386 |
sft/665K36/revise_Full_smoe_sharev3/logs/0717_1127_llava...l_mme_llava_model_args_5a2714/submissions/mmbench_en_dev_results.xlsx filter=lfs diff=lfs merge=lfs -text
|
| 387 |
sft/665K36/revise_Full_smoe_sharev3/logs/0717_1127_llava...l_mme_llava_model_args_5a2714/textvqa_val.json filter=lfs diff=lfs merge=lfs -text
|
| 388 |
+
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/infovqa_val.json filter=lfs diff=lfs merge=lfs -text
|
| 389 |
+
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmbench_en_dev.json filter=lfs diff=lfs merge=lfs -text
|
| 390 |
+
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmerealworld_lite.json filter=lfs diff=lfs merge=lfs -text
|
| 391 |
+
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/submissions/mmbench_en_dev_results.xlsx filter=lfs diff=lfs merge=lfs -text
|
| 392 |
+
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/textvqa_val.json filter=lfs diff=lfs merge=lfs -text
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/ai2d.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/infovqa_val.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:47514fa87cf7bc171a3cb0247b51027568bd42d8a9be7342969dca2ae3ad67ad
|
| 3 |
+
size 576426572
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmbench_en_dev.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3d228cb1aa477bdf777e75e166056b6978fc0905a224094470028f2f44be9034
|
| 3 |
+
size 14568320
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mme.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmerealworld_lite.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c253458d3aae7ec8edfd866d0bce2b33915a17a53479679afaa44cb7120f2376
|
| 3 |
+
size 1994104353
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmmu_pro_standard.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmmu_val.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/mmstar.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/rank0_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 0 eval done
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/rank1_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 1 eval done
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/rank2_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 2 eval done
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/rank3_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 3 eval done
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/results.json
ADDED
|
@@ -0,0 +1,729 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"ai2d": {
|
| 4 |
+
"exact_match,flexible-extract": 0.6431347150259067,
|
| 5 |
+
"exact_match_stderr,flexible-extract": 0.008622531962946923,
|
| 6 |
+
"alias": "ai2d"
|
| 7 |
+
},
|
| 8 |
+
"infovqa_val": {
|
| 9 |
+
"anls,none": 0.2702606212067119,
|
| 10 |
+
"anls_stderr,none": 0.008392594904175744,
|
| 11 |
+
"alias": "infovqa_val"
|
| 12 |
+
},
|
| 13 |
+
"mmbench_en_dev": {
|
| 14 |
+
"gpt_eval_score,none": 68.21305841924399,
|
| 15 |
+
"gpt_eval_score_stderr,none": "N/A",
|
| 16 |
+
"submission,none": null,
|
| 17 |
+
"submission_stderr,none": "N/A",
|
| 18 |
+
"alias": "mmbench_en_dev"
|
| 19 |
+
},
|
| 20 |
+
"mme": {
|
| 21 |
+
"mme_cognition_score,none": 300.3571428571429,
|
| 22 |
+
"mme_cognition_score_stderr,none": "N/A",
|
| 23 |
+
"mme_percetion_score,none": 1333.4614845938377,
|
| 24 |
+
"mme_percetion_score_stderr,none": "N/A",
|
| 25 |
+
"alias": "mme"
|
| 26 |
+
},
|
| 27 |
+
"mmerealworld_lite": {
|
| 28 |
+
"mme_realworld_score,none": 0.2965085982282439,
|
| 29 |
+
"mme_realworld_score_stderr,none": "N/A",
|
| 30 |
+
"alias": "mmerealworld_lite"
|
| 31 |
+
},
|
| 32 |
+
"mmmu_pro_standard": {
|
| 33 |
+
"mmmu_acc,none": 0.25491,
|
| 34 |
+
"mmmu_acc_stderr,none": "N/A",
|
| 35 |
+
"alias": "mmmu_pro_standard"
|
| 36 |
+
},
|
| 37 |
+
"mmmu_val": {
|
| 38 |
+
"mmmu_acc,none": 0.39667,
|
| 39 |
+
"mmmu_acc_stderr,none": "N/A",
|
| 40 |
+
"alias": "mmmu_val"
|
| 41 |
+
},
|
| 42 |
+
"mmstar": {
|
| 43 |
+
"coarse perception,none": 0.6777537264839942,
|
| 44 |
+
"coarse perception_stderr,none": "N/A",
|
| 45 |
+
"fine-grained perception,none": 0.3289425202652911,
|
| 46 |
+
"fine-grained perception_stderr,none": "N/A",
|
| 47 |
+
"instance reasoning,none": 0.5032956116682105,
|
| 48 |
+
"instance reasoning_stderr,none": "N/A",
|
| 49 |
+
"logical reasoning,none": 0.37952872210297955,
|
| 50 |
+
"logical reasoning_stderr,none": "N/A",
|
| 51 |
+
"math,none": 0.2650193798449612,
|
| 52 |
+
"math_stderr,none": "N/A",
|
| 53 |
+
"science & technology,none": 0.2725281195018929,
|
| 54 |
+
"science & technology_stderr,none": "N/A",
|
| 55 |
+
"alias": "mmstar"
|
| 56 |
+
},
|
| 57 |
+
"scienceqa_img": {
|
| 58 |
+
"exact_match,none": 0.7451660882498761,
|
| 59 |
+
"exact_match_stderr,none": 0.009705320633412732,
|
| 60 |
+
"alias": "scienceqa_img"
|
| 61 |
+
},
|
| 62 |
+
"seedbench_2_plus": {
|
| 63 |
+
"seedbench_2_plus_Chart,none": 0.49135802469135803,
|
| 64 |
+
"seedbench_2_plus_Chart_stderr,none": "N/A",
|
| 65 |
+
"seedbench_2_plus_all,none": 0.48484848484848486,
|
| 66 |
+
"seedbench_2_plus_all_stderr,none": "N/A",
|
| 67 |
+
"seedbench_2_plus_Web,none": 0.5166666666666667,
|
| 68 |
+
"seedbench_2_plus_Web_stderr,none": "N/A",
|
| 69 |
+
"seedbench_2_plus_Map,none": 0.45229244114002476,
|
| 70 |
+
"seedbench_2_plus_Map_stderr,none": "N/A",
|
| 71 |
+
"alias": "seedbench_2_plus"
|
| 72 |
+
},
|
| 73 |
+
"textvqa_val": {
|
| 74 |
+
"exact_match,none": 0.3869200003027916,
|
| 75 |
+
"exact_match_stderr,none": 0.006664672999395247,
|
| 76 |
+
"submission,none": null,
|
| 77 |
+
"submission_stderr,none": "N/A",
|
| 78 |
+
"alias": "textvqa_val"
|
| 79 |
+
}
|
| 80 |
+
},
|
| 81 |
+
"configs": {
|
| 82 |
+
"ai2d": {
|
| 83 |
+
"task": "ai2d",
|
| 84 |
+
"dataset_path": "lmms-lab/ai2d",
|
| 85 |
+
"dataset_kwargs": {
|
| 86 |
+
"token": true
|
| 87 |
+
},
|
| 88 |
+
"test_split": "test",
|
| 89 |
+
"doc_to_visual": "<function ai2d_doc_to_visual at 0x7f49f42e09d0>",
|
| 90 |
+
"doc_to_text": "<function ai2d_doc_to_text at 0x7f49f42e0ca0>",
|
| 91 |
+
"doc_to_target": "<function ai2d_doc_to_target at 0x7f49f42e6280>",
|
| 92 |
+
"description": "",
|
| 93 |
+
"target_delimiter": " ",
|
| 94 |
+
"fewshot_delimiter": "\n\n",
|
| 95 |
+
"metric_list": [
|
| 96 |
+
{
|
| 97 |
+
"metric": "exact_match",
|
| 98 |
+
"aggregation": "mean",
|
| 99 |
+
"higher_is_better": true,
|
| 100 |
+
"ignore_case": true,
|
| 101 |
+
"ignore_punctuation": true
|
| 102 |
+
}
|
| 103 |
+
],
|
| 104 |
+
"output_type": "generate_until",
|
| 105 |
+
"generation_kwargs": {
|
| 106 |
+
"max_new_tokens": 512,
|
| 107 |
+
"temperature": 0.0,
|
| 108 |
+
"do_sample": false,
|
| 109 |
+
"until": [
|
| 110 |
+
"\n\n"
|
| 111 |
+
]
|
| 112 |
+
},
|
| 113 |
+
"repeats": 1,
|
| 114 |
+
"filter_list": [
|
| 115 |
+
{
|
| 116 |
+
"name": "flexible-extract",
|
| 117 |
+
"filter": [
|
| 118 |
+
{
|
| 119 |
+
"function": "<class 'utils.MultiChoiceRegexFilter'>",
|
| 120 |
+
"group_select": 0,
|
| 121 |
+
"ignore_case": true,
|
| 122 |
+
"ignore_punctuation": true,
|
| 123 |
+
"regex_pattern": "([A-Z])\\."
|
| 124 |
+
}
|
| 125 |
+
]
|
| 126 |
+
}
|
| 127 |
+
],
|
| 128 |
+
"should_decontaminate": false,
|
| 129 |
+
"metadata": [
|
| 130 |
+
{
|
| 131 |
+
"version": 0.0
|
| 132 |
+
}
|
| 133 |
+
],
|
| 134 |
+
"model_specific_prompt_kwargs": {
|
| 135 |
+
"default": {
|
| 136 |
+
"prompt_format": "mcq",
|
| 137 |
+
"pre_prompt": "",
|
| 138 |
+
"post_prompt": "\nAnswer with the option's letter from the given choices directly."
|
| 139 |
+
},
|
| 140 |
+
"gpt4v": {
|
| 141 |
+
"prompt_format": "mcq",
|
| 142 |
+
"pre_prompt": "",
|
| 143 |
+
"post_prompt": "\nAbove choices are given in {option}. {content} format.\nPlease answer with the option letter from the given choices directly."
|
| 144 |
+
},
|
| 145 |
+
"qwen_vl": {
|
| 146 |
+
"prompt_format": "qa",
|
| 147 |
+
"pre_prompt": "",
|
| 148 |
+
"post_prompt": " Answer:"
|
| 149 |
+
},
|
| 150 |
+
"xcomposer2_4khd": {
|
| 151 |
+
"prompt_format": "mcq_xcomposer",
|
| 152 |
+
"pre_prompt": "[UNUSED_TOKEN_146]user\nQuestion: ",
|
| 153 |
+
"post_prompt": "[UNUSED_TOKEN_145]\n[UNUSED_TOKEN_146]assistant\nThe answer is"
|
| 154 |
+
}
|
| 155 |
+
},
|
| 156 |
+
"model_specific_target_kwargs": {
|
| 157 |
+
"default": "mcq",
|
| 158 |
+
"qwen_vl": "qa"
|
| 159 |
+
}
|
| 160 |
+
},
|
| 161 |
+
"infovqa_val": {
|
| 162 |
+
"task": "infovqa_val",
|
| 163 |
+
"dataset_path": "lmms-lab/DocVQA",
|
| 164 |
+
"dataset_name": "InfographicVQA",
|
| 165 |
+
"dataset_kwargs": {
|
| 166 |
+
"token": true
|
| 167 |
+
},
|
| 168 |
+
"test_split": "validation",
|
| 169 |
+
"doc_to_visual": "<function infovqa_doc_to_visual at 0x7f4a26ed9a60>",
|
| 170 |
+
"doc_to_text": "<function infovqa_doc_to_text at 0x7f4a26ed9d30>",
|
| 171 |
+
"doc_to_target": "answers",
|
| 172 |
+
"description": "",
|
| 173 |
+
"target_delimiter": " ",
|
| 174 |
+
"fewshot_delimiter": "\n\n",
|
| 175 |
+
"metric_list": [
|
| 176 |
+
{
|
| 177 |
+
"metric": "anls",
|
| 178 |
+
"aggregation": "mean",
|
| 179 |
+
"higher_is_better": true
|
| 180 |
+
}
|
| 181 |
+
],
|
| 182 |
+
"output_type": "generate_until",
|
| 183 |
+
"generation_kwargs": {
|
| 184 |
+
"max_new_tokens": 32,
|
| 185 |
+
"temperature": 0.0,
|
| 186 |
+
"do_sample": false,
|
| 187 |
+
"until": [
|
| 188 |
+
"\n\n"
|
| 189 |
+
]
|
| 190 |
+
},
|
| 191 |
+
"repeats": 1,
|
| 192 |
+
"should_decontaminate": false,
|
| 193 |
+
"model_specific_prompt_kwargs": {
|
| 194 |
+
"default": {
|
| 195 |
+
"pre_prompt": "",
|
| 196 |
+
"post_prompt": "\nAnswer the question using a single word or phrase."
|
| 197 |
+
}
|
| 198 |
+
}
|
| 199 |
+
},
|
| 200 |
+
"mmbench_en_dev": {
|
| 201 |
+
"task": "mmbench_en_dev",
|
| 202 |
+
"dataset_path": "lmms-lab/MMBench",
|
| 203 |
+
"dataset_name": "en",
|
| 204 |
+
"dataset_kwargs": {
|
| 205 |
+
"token": true
|
| 206 |
+
},
|
| 207 |
+
"test_split": "dev",
|
| 208 |
+
"doc_to_visual": "<function mmbench_doc_to_visual at 0x7f4a546d7670>",
|
| 209 |
+
"doc_to_text": "<function mmbench_doc_to_text at 0x7f4a546d7b80>",
|
| 210 |
+
"doc_to_target": "answer",
|
| 211 |
+
"process_results": "<function mmbench_process_results at 0x7f4a546e40d0>",
|
| 212 |
+
"description": "",
|
| 213 |
+
"target_delimiter": " ",
|
| 214 |
+
"fewshot_delimiter": "\n\n",
|
| 215 |
+
"metric_list": [
|
| 216 |
+
{
|
| 217 |
+
"metric": "gpt_eval_score",
|
| 218 |
+
"aggregation": "<function mmbench_aggregate_dev_results_eval at 0x7f4a546ceee0>",
|
| 219 |
+
"higher_is_better": true
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"metric": "submission",
|
| 223 |
+
"aggregation": "<function mmbench_aggregate_dev_results_submission at 0x7f4a546d7430>",
|
| 224 |
+
"higher_is_better": true
|
| 225 |
+
}
|
| 226 |
+
],
|
| 227 |
+
"output_type": "generate_until",
|
| 228 |
+
"generation_kwargs": {
|
| 229 |
+
"until": [
|
| 230 |
+
"ASSISTANT:"
|
| 231 |
+
],
|
| 232 |
+
"max_new_tokens": 1024,
|
| 233 |
+
"temperature": 0.0,
|
| 234 |
+
"top_p": 1.0,
|
| 235 |
+
"num_beams": 1,
|
| 236 |
+
"do_sample": false,
|
| 237 |
+
"image_aspect_ratio": "original"
|
| 238 |
+
},
|
| 239 |
+
"repeats": 1,
|
| 240 |
+
"should_decontaminate": false,
|
| 241 |
+
"model_specific_prompt_kwargs": {
|
| 242 |
+
"default": {
|
| 243 |
+
"pre_prompt": "",
|
| 244 |
+
"post_prompt": "\nAnswer with the option's letter from the given choices directly."
|
| 245 |
+
}
|
| 246 |
+
},
|
| 247 |
+
"model_specific_generation_kwargs": {
|
| 248 |
+
"llava": {
|
| 249 |
+
"image_aspect_ratio": "original"
|
| 250 |
+
}
|
| 251 |
+
}
|
| 252 |
+
},
|
| 253 |
+
"mme": {
|
| 254 |
+
"task": "mme",
|
| 255 |
+
"dataset_path": "lmms-lab/MME",
|
| 256 |
+
"dataset_kwargs": {
|
| 257 |
+
"token": false
|
| 258 |
+
},
|
| 259 |
+
"test_split": "test",
|
| 260 |
+
"doc_to_visual": "<function mme_doc_to_visual at 0x7f4a54ff0af0>",
|
| 261 |
+
"doc_to_text": "<function mme_doc_to_text at 0x7f4a547593a0>",
|
| 262 |
+
"doc_to_target": "answer",
|
| 263 |
+
"process_results": "<function mme_process_results at 0x7f4a54759940>",
|
| 264 |
+
"description": "",
|
| 265 |
+
"target_delimiter": " ",
|
| 266 |
+
"fewshot_delimiter": "\n\n",
|
| 267 |
+
"metric_list": [
|
| 268 |
+
{
|
| 269 |
+
"metric": "mme_percetion_score",
|
| 270 |
+
"aggregation": "<function mme_aggregate_results at 0x7f4a54759e50>",
|
| 271 |
+
"higher_is_better": true
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"metric": "mme_cognition_score",
|
| 275 |
+
"aggregation": "<function mme_aggregate_results at 0x7f4a5475f310>",
|
| 276 |
+
"higher_is_better": true
|
| 277 |
+
}
|
| 278 |
+
],
|
| 279 |
+
"output_type": "generate_until",
|
| 280 |
+
"generation_kwargs": {
|
| 281 |
+
"max_new_tokens": 16,
|
| 282 |
+
"temperature": 0.0,
|
| 283 |
+
"top_p": 1.0,
|
| 284 |
+
"num_beams": 1,
|
| 285 |
+
"do_sample": false,
|
| 286 |
+
"until": [
|
| 287 |
+
"\n\n"
|
| 288 |
+
]
|
| 289 |
+
},
|
| 290 |
+
"repeats": 1,
|
| 291 |
+
"should_decontaminate": false,
|
| 292 |
+
"metadata": [
|
| 293 |
+
{
|
| 294 |
+
"version": 0.0
|
| 295 |
+
}
|
| 296 |
+
],
|
| 297 |
+
"model_specific_prompt_kwargs": {
|
| 298 |
+
"default": {
|
| 299 |
+
"pre_prompt": "",
|
| 300 |
+
"post_prompt": "\nAnswer the question using a single word or phrase."
|
| 301 |
+
},
|
| 302 |
+
"gpt4v": {
|
| 303 |
+
"pre_prompt": "",
|
| 304 |
+
"post_prompt": "\nAnswer the question with Yes or No."
|
| 305 |
+
},
|
| 306 |
+
"qwen_vl": {
|
| 307 |
+
"pre_prompt": "",
|
| 308 |
+
"post_prompt": " Answer:"
|
| 309 |
+
},
|
| 310 |
+
"otterhd": {
|
| 311 |
+
"pre_prompt": "",
|
| 312 |
+
"post_prompt": " Answer:"
|
| 313 |
+
},
|
| 314 |
+
"xcomposer2_4khd": {
|
| 315 |
+
"pre_prompt": "[UNUSED_TOKEN_146]user\n",
|
| 316 |
+
"post_prompt": " Answer this question briefly[UNUSED_TOKEN_145]\n[UNUSED_TOKEN_146]assistant\n"
|
| 317 |
+
}
|
| 318 |
+
}
|
| 319 |
+
},
|
| 320 |
+
"mmerealworld_lite": {
|
| 321 |
+
"task": "mmerealworld_lite",
|
| 322 |
+
"dataset_path": "yifanzhang114/MME-RealWorld-lite-lmms-eval",
|
| 323 |
+
"dataset_kwargs": {
|
| 324 |
+
"token": true
|
| 325 |
+
},
|
| 326 |
+
"test_split": "train",
|
| 327 |
+
"doc_to_visual": "<function mme_realworld_doc_to_visual at 0x7f49f4a89b80>",
|
| 328 |
+
"doc_to_text": "<function mme_realworld_doc_to_text at 0x7f49f4a90670>",
|
| 329 |
+
"doc_to_target": "answer",
|
| 330 |
+
"process_results": "<function mme_realworld_process_results at 0x7f49f4a95310>",
|
| 331 |
+
"description": "",
|
| 332 |
+
"target_delimiter": " ",
|
| 333 |
+
"fewshot_delimiter": "\n\n",
|
| 334 |
+
"metric_list": [
|
| 335 |
+
{
|
| 336 |
+
"metric": "mme_realworld_score",
|
| 337 |
+
"aggregation": "<function mme_realworld_aggregate_results at 0x7f49f4a95e50>",
|
| 338 |
+
"higher_is_better": true
|
| 339 |
+
}
|
| 340 |
+
],
|
| 341 |
+
"output_type": "generate_until",
|
| 342 |
+
"generation_kwargs": {
|
| 343 |
+
"max_new_tokens": 16,
|
| 344 |
+
"temperature": 0.0,
|
| 345 |
+
"top_p": 1.0,
|
| 346 |
+
"num_beams": 1,
|
| 347 |
+
"do_sample": false,
|
| 348 |
+
"until": [
|
| 349 |
+
"\n\n"
|
| 350 |
+
]
|
| 351 |
+
},
|
| 352 |
+
"repeats": 1,
|
| 353 |
+
"should_decontaminate": false,
|
| 354 |
+
"metadata": [
|
| 355 |
+
{
|
| 356 |
+
"version": 0.0
|
| 357 |
+
}
|
| 358 |
+
],
|
| 359 |
+
"model_specific_prompt_kwargs": {
|
| 360 |
+
"default": {
|
| 361 |
+
"pre_prompt": "",
|
| 362 |
+
"post_prompt": "\nSelect the best answer to the above multiple-choice question based on the image. Respond with only the letter (A, B, C, D, or E) of the correct option."
|
| 363 |
+
},
|
| 364 |
+
"gpt4v": {
|
| 365 |
+
"pre_prompt": "",
|
| 366 |
+
"post_prompt": "\nSelect the best answer to the above multiple-choice question based on the image. Respond with only the letter (A, B, C, D, or E) of the correct option."
|
| 367 |
+
},
|
| 368 |
+
"xcomposer2_4khd": {
|
| 369 |
+
"pre_prompt": "[UNUSED_TOKEN_146]user\n",
|
| 370 |
+
"post_prompt": " Answer this question with A, B, C, or D.[UNUSED_TOKEN_145]\n[UNUSED_TOKEN_146]assistant\n"
|
| 371 |
+
}
|
| 372 |
+
}
|
| 373 |
+
},
|
| 374 |
+
"mmmu_pro_standard": {
|
| 375 |
+
"task": "mmmu_pro_standard",
|
| 376 |
+
"dataset_path": "MMMU/MMMU_Pro",
|
| 377 |
+
"dataset_name": "standard (10 options)",
|
| 378 |
+
"test_split": "test",
|
| 379 |
+
"doc_to_visual": "<function mmmu_pro_doc_to_visual at 0x7f4a546a69d0>",
|
| 380 |
+
"doc_to_text": "<function mmmu_pro_doc_to_text at 0x7f4a546b3790>",
|
| 381 |
+
"doc_to_target": "{{answer}}",
|
| 382 |
+
"process_results": "<function mmmu_pro_process_results at 0x7f4a546b9700>",
|
| 383 |
+
"description": "",
|
| 384 |
+
"target_delimiter": " ",
|
| 385 |
+
"fewshot_delimiter": "\n\n",
|
| 386 |
+
"metric_list": [
|
| 387 |
+
{
|
| 388 |
+
"metric": "mmmu_acc",
|
| 389 |
+
"aggregation": "<function mmmu_pro_aggregate_results at 0x7f4a546c4670>",
|
| 390 |
+
"higher_is_better": true
|
| 391 |
+
}
|
| 392 |
+
],
|
| 393 |
+
"output_type": "generate_until",
|
| 394 |
+
"generation_kwargs": {
|
| 395 |
+
"max_new_tokens": 256,
|
| 396 |
+
"until": [
|
| 397 |
+
"\n\n"
|
| 398 |
+
]
|
| 399 |
+
},
|
| 400 |
+
"repeats": 1,
|
| 401 |
+
"should_decontaminate": false,
|
| 402 |
+
"metadata": {
|
| 403 |
+
"version": 0.0,
|
| 404 |
+
"interleaved_format": false
|
| 405 |
+
},
|
| 406 |
+
"model_specific_prompt_kwargs": {
|
| 407 |
+
"default": {
|
| 408 |
+
"pre_prompt": "",
|
| 409 |
+
"post_prompt": "Answer with the option letter from the given choices directly."
|
| 410 |
+
}
|
| 411 |
+
}
|
| 412 |
+
},
|
| 413 |
+
"mmmu_val": {
|
| 414 |
+
"task": "mmmu_val",
|
| 415 |
+
"dataset_path": "lmms-lab/MMMU",
|
| 416 |
+
"test_split": "validation",
|
| 417 |
+
"doc_to_visual": "<function mmmu_doc_to_visual at 0x7f4a06c789d0>",
|
| 418 |
+
"doc_to_text": "<function mmmu_doc_to_text at 0x7f4a06bf6700>",
|
| 419 |
+
"doc_to_target": "answer",
|
| 420 |
+
"process_results": "<function mmmu_process_results at 0x7f4a06af55e0>",
|
| 421 |
+
"description": "",
|
| 422 |
+
"target_delimiter": " ",
|
| 423 |
+
"fewshot_delimiter": "\n\n",
|
| 424 |
+
"metric_list": [
|
| 425 |
+
{
|
| 426 |
+
"metric": "mmmu_acc",
|
| 427 |
+
"aggregation": "<function mmmu_aggregate_results at 0x7f4a0698c550>",
|
| 428 |
+
"higher_is_better": true
|
| 429 |
+
}
|
| 430 |
+
],
|
| 431 |
+
"output_type": "generate_until",
|
| 432 |
+
"generation_kwargs": {
|
| 433 |
+
"max_new_tokens": 128,
|
| 434 |
+
"until": [
|
| 435 |
+
"\n\n"
|
| 436 |
+
],
|
| 437 |
+
"image_aspect_ratio": "original"
|
| 438 |
+
},
|
| 439 |
+
"repeats": 1,
|
| 440 |
+
"should_decontaminate": false,
|
| 441 |
+
"metadata": [
|
| 442 |
+
{
|
| 443 |
+
"version": 0.0
|
| 444 |
+
}
|
| 445 |
+
],
|
| 446 |
+
"model_specific_generation_kwargs": {
|
| 447 |
+
"llava": {
|
| 448 |
+
"image_aspect_ratio": "original"
|
| 449 |
+
}
|
| 450 |
+
}
|
| 451 |
+
},
|
| 452 |
+
"mmstar": {
|
| 453 |
+
"task": "mmstar",
|
| 454 |
+
"dataset_path": "Lin-Chen/MMStar",
|
| 455 |
+
"dataset_kwargs": {
|
| 456 |
+
"token": true
|
| 457 |
+
},
|
| 458 |
+
"test_split": "val",
|
| 459 |
+
"doc_to_visual": "<function mmstar_doc_to_visual at 0x7f49f4241040>",
|
| 460 |
+
"doc_to_text": "<function mmstar_doc_to_text at 0x7f49f42414c0>",
|
| 461 |
+
"doc_to_target": "answer",
|
| 462 |
+
"process_results": "<function mmstar_process_results at 0x7f49f42419d0>",
|
| 463 |
+
"description": "",
|
| 464 |
+
"target_delimiter": " ",
|
| 465 |
+
"fewshot_delimiter": "\n\n",
|
| 466 |
+
"metric_list": [
|
| 467 |
+
{
|
| 468 |
+
"metric": "coarse perception",
|
| 469 |
+
"aggregation": "<function mmstar_aggregate_results at 0x7f49f4241e50>",
|
| 470 |
+
"higher_is_better": true
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"metric": "fine-grained perception",
|
| 474 |
+
"aggregation": "<function mmstar_aggregate_results at 0x7f49f41c8280>",
|
| 475 |
+
"higher_is_better": true
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"metric": "instance reasoning",
|
| 479 |
+
"aggregation": "<function mmstar_aggregate_results at 0x7f49f41c8670>",
|
| 480 |
+
"higher_is_better": true
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"metric": "logical reasoning",
|
| 484 |
+
"aggregation": "<function mmstar_aggregate_results at 0x7f49f41c8a60>",
|
| 485 |
+
"higher_is_better": true
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"metric": "science & technology",
|
| 489 |
+
"aggregation": "<function mmstar_aggregate_results at 0x7f49f41c8e50>",
|
| 490 |
+
"higher_is_better": true
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"metric": "math",
|
| 494 |
+
"aggregation": "<function mmstar_aggregate_results at 0x7f49f41ce280>",
|
| 495 |
+
"higher_is_better": true
|
| 496 |
+
}
|
| 497 |
+
],
|
| 498 |
+
"output_type": "generate_until",
|
| 499 |
+
"generation_kwargs": {
|
| 500 |
+
"until": [
|
| 501 |
+
"\n\n"
|
| 502 |
+
],
|
| 503 |
+
"do_sample": false
|
| 504 |
+
},
|
| 505 |
+
"repeats": 1,
|
| 506 |
+
"should_decontaminate": false,
|
| 507 |
+
"metadata": [
|
| 508 |
+
{
|
| 509 |
+
"version": 0.0
|
| 510 |
+
}
|
| 511 |
+
],
|
| 512 |
+
"model_specific_prompt_kwargs": {
|
| 513 |
+
"default": {
|
| 514 |
+
"pre_prompt": "",
|
| 515 |
+
"post_prompt": "\nAnswer with the option's letter from the given choices directly"
|
| 516 |
+
}
|
| 517 |
+
}
|
| 518 |
+
},
|
| 519 |
+
"scienceqa_img": {
|
| 520 |
+
"task": "scienceqa_img",
|
| 521 |
+
"dataset_path": "lmms-lab/ScienceQA",
|
| 522 |
+
"dataset_name": "ScienceQA-IMG",
|
| 523 |
+
"dataset_kwargs": {
|
| 524 |
+
"token": true
|
| 525 |
+
},
|
| 526 |
+
"test_split": "test",
|
| 527 |
+
"doc_to_visual": "<function sqa_doc_to_visual at 0x7f4a1fce20d0>",
|
| 528 |
+
"doc_to_text": "<function sqa_doc_to_text at 0x7f4a1fce2310>",
|
| 529 |
+
"doc_to_target": "<function sqa_doc_to_target at 0x7f4a1fce2700>",
|
| 530 |
+
"process_results": "<function sqa_process_results at 0x7f4a1fce2a60>",
|
| 531 |
+
"description": "",
|
| 532 |
+
"target_delimiter": " ",
|
| 533 |
+
"fewshot_delimiter": "\n\n",
|
| 534 |
+
"metric_list": [
|
| 535 |
+
{
|
| 536 |
+
"metric": "exact_match",
|
| 537 |
+
"aggregation": "mean",
|
| 538 |
+
"higher_is_better": true,
|
| 539 |
+
"ignore_case": true,
|
| 540 |
+
"ignore_punctuation": true
|
| 541 |
+
}
|
| 542 |
+
],
|
| 543 |
+
"output_type": "generate_until",
|
| 544 |
+
"generation_kwargs": {
|
| 545 |
+
"max_new_tokens": 16,
|
| 546 |
+
"temperature": 0.0,
|
| 547 |
+
"do_sample": false,
|
| 548 |
+
"until": [
|
| 549 |
+
"\n\n"
|
| 550 |
+
],
|
| 551 |
+
"image_aspect_ratio": "original"
|
| 552 |
+
},
|
| 553 |
+
"repeats": 1,
|
| 554 |
+
"should_decontaminate": false,
|
| 555 |
+
"metadata": [
|
| 556 |
+
{
|
| 557 |
+
"version": 0.0
|
| 558 |
+
}
|
| 559 |
+
],
|
| 560 |
+
"model_specific_prompt_kwargs": {
|
| 561 |
+
"default": {
|
| 562 |
+
"format": "default",
|
| 563 |
+
"pre_prompt": "",
|
| 564 |
+
"post_prompt": "\nAnswer with the option's letter from the given choices directly."
|
| 565 |
+
},
|
| 566 |
+
"qwen_vl": {
|
| 567 |
+
"format": "qwen_vl"
|
| 568 |
+
},
|
| 569 |
+
"idefics2": {
|
| 570 |
+
"format": "default",
|
| 571 |
+
"pre_prompt": "",
|
| 572 |
+
"post_prompt": "\nAnswer:"
|
| 573 |
+
}
|
| 574 |
+
},
|
| 575 |
+
"model_specific_generation_kwargs": {
|
| 576 |
+
"llava": {
|
| 577 |
+
"image_aspect_ratio": "original"
|
| 578 |
+
}
|
| 579 |
+
}
|
| 580 |
+
},
|
| 581 |
+
"seedbench_2_plus": {
|
| 582 |
+
"task": "seedbench_2_plus",
|
| 583 |
+
"dataset_path": "doolayer/SEED-Bench-2-Plus",
|
| 584 |
+
"dataset_kwargs": {
|
| 585 |
+
"token": true
|
| 586 |
+
},
|
| 587 |
+
"test_split": "test",
|
| 588 |
+
"doc_to_visual": "<function seed_doc_to_visual at 0x7f4a09cbe5e0>",
|
| 589 |
+
"doc_to_text": "<function seed_doc_to_text at 0x7f4a09cbec10>",
|
| 590 |
+
"doc_to_target": "answer",
|
| 591 |
+
"process_results": "<function seed_process_result at 0x7f4a09b9a160>",
|
| 592 |
+
"description": "",
|
| 593 |
+
"target_delimiter": " ",
|
| 594 |
+
"fewshot_delimiter": "\n\n",
|
| 595 |
+
"metric_list": [
|
| 596 |
+
{
|
| 597 |
+
"metric": "seedbench_2_plus_Chart",
|
| 598 |
+
"aggregation": "<function seed_aggregation_result at 0x7f4a09b9a670>",
|
| 599 |
+
"higher_is_better": true
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"metric": "seedbench_2_plus_Map",
|
| 603 |
+
"aggregation": "<function seed_aggregation_result at 0x7f4a09b9aaf0>",
|
| 604 |
+
"higher_is_better": true
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"metric": "seedbench_2_plus_Web",
|
| 608 |
+
"aggregation": "<function seed_aggregation_result at 0x7f4a09b9af70>",
|
| 609 |
+
"higher_is_better": true
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"metric": "seedbench_2_plus_all",
|
| 613 |
+
"aggregation": "<function seed_aggregation_result at 0x7f4a09bc1430>",
|
| 614 |
+
"higher_is_better": true
|
| 615 |
+
}
|
| 616 |
+
],
|
| 617 |
+
"output_type": "generate_until",
|
| 618 |
+
"generation_kwargs": {
|
| 619 |
+
"until": [
|
| 620 |
+
"ASSISTANT:"
|
| 621 |
+
],
|
| 622 |
+
"max_new_tokens": 16,
|
| 623 |
+
"image_aspect_ratio": "original"
|
| 624 |
+
},
|
| 625 |
+
"repeats": 1,
|
| 626 |
+
"should_decontaminate": false,
|
| 627 |
+
"metadata": [
|
| 628 |
+
{
|
| 629 |
+
"version": 0.0
|
| 630 |
+
}
|
| 631 |
+
],
|
| 632 |
+
"model_specific_prompt_kwargs": {
|
| 633 |
+
"llava": {
|
| 634 |
+
"img_token": "<image>",
|
| 635 |
+
"post_prompt": "Answer with the option's letter from the given choices directly."
|
| 636 |
+
},
|
| 637 |
+
"gpt4V": {
|
| 638 |
+
"img_token": "<image>",
|
| 639 |
+
"post_prompt": "Answer with the option's letter from the given choices directly."
|
| 640 |
+
},
|
| 641 |
+
"default": {
|
| 642 |
+
"img_token": "<image>",
|
| 643 |
+
"post_prompt": "Answer with the option's letter from the given choices directly."
|
| 644 |
+
}
|
| 645 |
+
}
|
| 646 |
+
},
|
| 647 |
+
"textvqa_val": {
|
| 648 |
+
"task": "textvqa_val",
|
| 649 |
+
"dataset_path": "lmms-lab/textvqa",
|
| 650 |
+
"test_split": "validation",
|
| 651 |
+
"doc_to_visual": "<function textvqa_doc_to_visual at 0x7f4a21063ca0>",
|
| 652 |
+
"doc_to_text": "<function textvqa_doc_to_text at 0x7f4a21015160>",
|
| 653 |
+
"doc_to_target": "answer",
|
| 654 |
+
"process_results": "<function textvqa_process_results at 0x7f4a21015430>",
|
| 655 |
+
"description": "",
|
| 656 |
+
"target_delimiter": " ",
|
| 657 |
+
"fewshot_delimiter": "\n\n",
|
| 658 |
+
"metric_list": [
|
| 659 |
+
{
|
| 660 |
+
"metric": "exact_match",
|
| 661 |
+
"aggregation": "mean",
|
| 662 |
+
"higher_is_better": true,
|
| 663 |
+
"ignore_case": true,
|
| 664 |
+
"ignore_punctuation": true
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"metric": "submission",
|
| 668 |
+
"aggregation": "<function textvqa_aggregate_submissions at 0x7f4a21063a60>",
|
| 669 |
+
"higher_is_better": true
|
| 670 |
+
}
|
| 671 |
+
],
|
| 672 |
+
"output_type": "generate_until",
|
| 673 |
+
"generation_kwargs": {
|
| 674 |
+
"until": [
|
| 675 |
+
"ASSISTANT:"
|
| 676 |
+
]
|
| 677 |
+
},
|
| 678 |
+
"repeats": 1,
|
| 679 |
+
"should_decontaminate": false,
|
| 680 |
+
"model_specific_prompt_kwargs": {
|
| 681 |
+
"default": {
|
| 682 |
+
"pre_prompt": "",
|
| 683 |
+
"post_prompt": "\nAnswer the question using a single word or phrase.",
|
| 684 |
+
"ocr": false
|
| 685 |
+
},
|
| 686 |
+
"qwen_vl": {
|
| 687 |
+
"pre_prompt": "",
|
| 688 |
+
"post_prompt": " Answer:"
|
| 689 |
+
}
|
| 690 |
+
}
|
| 691 |
+
}
|
| 692 |
+
},
|
| 693 |
+
"versions": {
|
| 694 |
+
"ai2d": "Yaml",
|
| 695 |
+
"infovqa_val": "Yaml",
|
| 696 |
+
"mmbench_en_dev": "Yaml",
|
| 697 |
+
"mme": "Yaml",
|
| 698 |
+
"mmerealworld_lite": "Yaml",
|
| 699 |
+
"mmmu_pro_standard": "Yaml",
|
| 700 |
+
"mmmu_val": "Yaml",
|
| 701 |
+
"mmstar": "Yaml",
|
| 702 |
+
"scienceqa_img": "Yaml",
|
| 703 |
+
"seedbench_2_plus": "Yaml",
|
| 704 |
+
"textvqa_val": "Yaml"
|
| 705 |
+
},
|
| 706 |
+
"n-shot": {
|
| 707 |
+
"ai2d": 0,
|
| 708 |
+
"infovqa_val": 0,
|
| 709 |
+
"mmbench_en_dev": 0,
|
| 710 |
+
"mme": 0,
|
| 711 |
+
"mmerealworld_lite": 0,
|
| 712 |
+
"mmmu_pro_standard": 0,
|
| 713 |
+
"mmmu_val": 0,
|
| 714 |
+
"mmstar": 0,
|
| 715 |
+
"scienceqa_img": 0,
|
| 716 |
+
"seedbench_2_plus": 0,
|
| 717 |
+
"textvqa_val": 0
|
| 718 |
+
},
|
| 719 |
+
"model_configs": {
|
| 720 |
+
"model": "llava",
|
| 721 |
+
"model_args": "pretrained=/cm/archive/namnv78_new/revise_checkpoints/Xphi35-siglip224/SMOE/665K36/revise_Full_smoe_sharev3/checkpoint-4159,conv_template=phi35",
|
| 722 |
+
"batch_size": "1",
|
| 723 |
+
"device": null,
|
| 724 |
+
"limit": null,
|
| 725 |
+
"bootstrap_iters": 100000,
|
| 726 |
+
"gen_kwargs": ""
|
| 727 |
+
},
|
| 728 |
+
"git_hash": "289c7fe5"
|
| 729 |
+
}
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/scienceqa_img.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/seedbench_2_plus.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/submissions/mmbench_en_dev_results.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"overall_acc": 0.6821305841924399, "category_acc": {"action_recognition": 0.9259259259259259, "attribute_comparison": 0.6818181818181818, "attribute_recognition": 0.7837837837837838, "celebrity_recognition": 0.7777777777777778, "function_reasoning": 0.8354430379746836, "future_prediction": 0.4, "identity_reasoning": 0.9777777777777777, "image_emotion": 0.74, "image_quality": 0.39622641509433965, "image_scene": 0.9615384615384616, "image_style": 0.8490566037735849, "image_topic": 0.8333333333333334, "nature_relation": 0.5416666666666666, "object_localization": 0.4567901234567901, "ocr": 0.7435897435897436, "physical_property_reasoning": 0.5333333333333333, "physical_relation": 0.4166666666666667, "social_relation": 0.7906976744186046, "spatial_relationship": 0.28888888888888886, "structuralized_imagetext_understanding": 0.3974358974358974}, "l2_category_acc": {"attribute_reasoning": 0.7537688442211056, "coarse_perception": 0.7871621621621622, "finegrained_perception (cross-instance)": 0.6503496503496503, "finegrained_perception (instance-level)": 0.6860068259385665, "logic_reasoning": 0.3983050847457627, "relation_reasoning": 0.6086956521739131}}
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/submissions/mmbench_en_dev_results.xlsx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13abf7120de860c86657270e91fd769cccdecb25dd4ea2e6e250676715c6db38
|
| 3 |
+
size 865158
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/submissions/textvqa_submission_2025-07-17-18-19-58.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1839_llava...l_mme_llava_model_args_861273/textvqa_val.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:22d2e0a84f28a482b3bcfdf703e2466e1ea17d858b38f9afabbcceef1095a918
|
| 3 |
+
size 13141941
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/ocrbench.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/rank0_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 0 eval done
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/rank1_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 1 eval done
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/rank2_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 2 eval done
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/rank3_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 3 eval done
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/results.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"ocrbench": {
|
| 4 |
+
"ocrbench_accuracy,none": 0.311,
|
| 5 |
+
"ocrbench_accuracy_stderr,none": "N/A",
|
| 6 |
+
"alias": "ocrbench"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"ocrbench": {
|
| 11 |
+
"task": "ocrbench",
|
| 12 |
+
"dataset_path": "echo840/OCRBench",
|
| 13 |
+
"dataset_kwargs": {
|
| 14 |
+
"token": true
|
| 15 |
+
},
|
| 16 |
+
"test_split": "test",
|
| 17 |
+
"doc_to_visual": "<function ocrbench_doc_to_visual at 0x7ff38fcbb0d0>",
|
| 18 |
+
"doc_to_text": "<function ocrbench_doc_to_text at 0x7ff38f705670>",
|
| 19 |
+
"doc_to_target": "answer",
|
| 20 |
+
"process_results": "<function ocrbench_process_results at 0x7ff38f7059d0>",
|
| 21 |
+
"description": "",
|
| 22 |
+
"target_delimiter": " ",
|
| 23 |
+
"fewshot_delimiter": "\n\n",
|
| 24 |
+
"metric_list": [
|
| 25 |
+
{
|
| 26 |
+
"metric": "ocrbench_accuracy",
|
| 27 |
+
"aggregation": "<function ocrbench_aggregate_accuracy at 0x7ff38f705d30>",
|
| 28 |
+
"higher_is_better": true
|
| 29 |
+
}
|
| 30 |
+
],
|
| 31 |
+
"output_type": "generate_until",
|
| 32 |
+
"generation_kwargs": {
|
| 33 |
+
"max_new_tokens": 128,
|
| 34 |
+
"temperature": 0.0,
|
| 35 |
+
"top_p": 1.0,
|
| 36 |
+
"num_beams": 1,
|
| 37 |
+
"do_sample": false,
|
| 38 |
+
"until": [
|
| 39 |
+
"\n\n"
|
| 40 |
+
]
|
| 41 |
+
},
|
| 42 |
+
"repeats": 1,
|
| 43 |
+
"should_decontaminate": false,
|
| 44 |
+
"metadata": [
|
| 45 |
+
{
|
| 46 |
+
"version": 0.0
|
| 47 |
+
}
|
| 48 |
+
]
|
| 49 |
+
}
|
| 50 |
+
},
|
| 51 |
+
"versions": {
|
| 52 |
+
"ocrbench": "Yaml"
|
| 53 |
+
},
|
| 54 |
+
"n-shot": {
|
| 55 |
+
"ocrbench": 0
|
| 56 |
+
},
|
| 57 |
+
"model_configs": {
|
| 58 |
+
"model": "llava",
|
| 59 |
+
"model_args": "pretrained=/cm/archive/namnv78_new/revise_checkpoints/Xphi35-siglip224/SMOE/665K36/revise_Full_smoe_sharev3/checkpoint-4159,conv_template=phi35",
|
| 60 |
+
"batch_size": "1",
|
| 61 |
+
"device": null,
|
| 62 |
+
"limit": null,
|
| 63 |
+
"bootstrap_iters": 100000,
|
| 64 |
+
"gen_kwargs": ""
|
| 65 |
+
},
|
| 66 |
+
"git_hash": "289c7fe5"
|
| 67 |
+
}
|
sft/665K36/revise_Full_smoe_sharev3/checkpoint-4159/logs/0717_1921_llava...bench_llava_model_args_861273/results/ocrbench_results.txt
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
######################### OCRBench #############################
|
| 2 |
+
Text Recognition(Total 300): 176
|
| 3 |
+
---------------- Details of Recognition Score ------------------
|
| 4 |
+
Regular Text Recognition(Total 50): 47
|
| 5 |
+
Irregular Text Recognition(Total 50): 41
|
| 6 |
+
Artistic Text Recognition(Total 50): 41
|
| 7 |
+
Handwriting Recognition(Total 50): 22
|
| 8 |
+
Digit String Recognition(Total 50): 10
|
| 9 |
+
Non-Semantic Text Recognition(Total 50): 15
|
| 10 |
+
----------------------------------------------------------------
|
| 11 |
+
Scene Text-centric VQA(Total 200): 107
|
| 12 |
+
----------------------------------------------------------------
|
| 13 |
+
Doc-oriented VQA(Total 200): 17
|
| 14 |
+
----------------------------------------------------------------
|
| 15 |
+
Key Information Extraction(Total 200): 11
|
| 16 |
+
Handwritten Mathematical Expression Recognition(Total 100): 0
|
| 17 |
+
--------------------- Final Score ------------------------------
|
| 18 |
+
Final Score(Total 1000): 311
|