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DavidNguyen
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This view is limited to 50 files because it contains too many changes.
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- .gitattributes +7 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/ai2d.json +0 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/infovqa_val.json +3 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/mmbench_en_dev.json +3 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/mme.json +0 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/mmerealworld_lite.json +3 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/mmmu_val.json +0 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/mmstar.json +0 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/rank0_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/rank1_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/rank2_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/rank3_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/results.json +683 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/scienceqa_img.json +0 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/seedbench_2_plus.json +0 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/submissions/mmbench_en_dev_results.json +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/submissions/mmbench_en_dev_results.xlsx +3 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/submissions/textvqa_submission_2025-06-29-02-10-52.json +0 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0244_llava...l_mme_llava_model_args_59313d/textvqa_val.json +3 -0
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- sft/1M3/Full_smoe_tcmoe/logs/0629_0312_llava...image_llava_model_args_59313d/rank0_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0312_llava...image_llava_model_args_59313d/rank1_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0312_llava...image_llava_model_args_59313d/rank2_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0312_llava...image_llava_model_args_59313d/rank3_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0312_llava...image_llava_model_args_59313d/results.json +146 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0312_llava...image_llava_model_args_59313d/submissions/mathvista_testmini_scores.json +0 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/ocrbench.json +0 -0
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- sft/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/rank2_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/rank3_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/results.json +67 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/results/ocrbench_results.txt +18 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/chartqa.json +0 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/docvqa_val.json +0 -0
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- sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/rank1_metric_eval_done.txt +1 -0
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- sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/rank3_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/realworldqa.json +0 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/results.json +318 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0425_llava_v1.5_pope_llava_model_args_59313d/pope.json +3 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0425_llava_v1.5_pope_llava_model_args_59313d/rank0_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0425_llava_v1.5_pope_llava_model_args_59313d/rank1_metric_eval_done.txt +1 -0
- sft/1M3/Full_smoe_tcmoe/logs/0629_0425_llava_v1.5_pope_llava_model_args_59313d/rank2_metric_eval_done.txt +1 -0
.gitattributes
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sft/1M3/Full_smoe_tcmoe/logs/0629_0425_llava_v1.5_pope_llava_model_args_59313d/pope.json filter=lfs diff=lfs merge=lfs -text
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"ai2d": {
|
| 4 |
+
"exact_match,flexible-extract": 0.6955958549222798,
|
| 5 |
+
"exact_match_stderr,flexible-extract": 0.008282004438402829,
|
| 6 |
+
"alias": "ai2d"
|
| 7 |
+
},
|
| 8 |
+
"infovqa_val": {
|
| 9 |
+
"anls,none": 0.3002499107461621,
|
| 10 |
+
"anls_stderr,none": 0.008662313734197841,
|
| 11 |
+
"alias": "infovqa_val"
|
| 12 |
+
},
|
| 13 |
+
"mmbench_en_dev": {
|
| 14 |
+
"gpt_eval_score,none": 70.87628865979381,
|
| 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": 384.6428571428571,
|
| 22 |
+
"mme_cognition_score_stderr,none": "N/A",
|
| 23 |
+
"mme_percetion_score,none": 1272.5569227691076,
|
| 24 |
+
"mme_percetion_score_stderr,none": "N/A",
|
| 25 |
+
"alias": "mme"
|
| 26 |
+
},
|
| 27 |
+
"mmerealworld_lite": {
|
| 28 |
+
"mme_realworld_score,none": 0.3256904637832204,
|
| 29 |
+
"mme_realworld_score_stderr,none": "N/A",
|
| 30 |
+
"alias": "mmerealworld_lite"
|
| 31 |
+
},
|
| 32 |
+
"mmmu_val": {
|
| 33 |
+
"mmmu_acc,none": 0.42111,
|
| 34 |
+
"mmmu_acc_stderr,none": "N/A",
|
| 35 |
+
"alias": "mmmu_val"
|
| 36 |
+
},
|
| 37 |
+
"mmstar": {
|
| 38 |
+
"coarse perception,none": 0.7131472584458171,
|
| 39 |
+
"coarse perception_stderr,none": "N/A",
|
| 40 |
+
"fine-grained perception,none": 0.33379390813068044,
|
| 41 |
+
"fine-grained perception_stderr,none": "N/A",
|
| 42 |
+
"instance reasoning,none": 0.4824962199010767,
|
| 43 |
+
"instance reasoning_stderr,none": "N/A",
|
| 44 |
+
"logical reasoning,none": 0.3767722926138768,
|
| 45 |
+
"logical reasoning_stderr,none": "N/A",
|
| 46 |
+
"math,none": 0.3978715584068431,
|
| 47 |
+
"math_stderr,none": "N/A",
|
| 48 |
+
"science & technology,none": 0.31324748584611806,
|
| 49 |
+
"science & technology_stderr,none": "N/A",
|
| 50 |
+
"alias": "mmstar"
|
| 51 |
+
},
|
| 52 |
+
"scienceqa_img": {
|
| 53 |
+
"exact_match,none": 0.8215171046108082,
|
| 54 |
+
"exact_match_stderr,none": 0.00852827787616446,
|
| 55 |
+
"alias": "scienceqa_img"
|
| 56 |
+
},
|
| 57 |
+
"seedbench_2_plus": {
|
| 58 |
+
"seedbench_2_plus_Chart,none": 0.5259259259259259,
|
| 59 |
+
"seedbench_2_plus_Chart_stderr,none": "N/A",
|
| 60 |
+
"seedbench_2_plus_all,none": 0.5173473869126043,
|
| 61 |
+
"seedbench_2_plus_all_stderr,none": "N/A",
|
| 62 |
+
"seedbench_2_plus_Web,none": 0.5636363636363636,
|
| 63 |
+
"seedbench_2_plus_Web_stderr,none": "N/A",
|
| 64 |
+
"seedbench_2_plus_Map,none": 0.4708798017348203,
|
| 65 |
+
"seedbench_2_plus_Map_stderr,none": "N/A",
|
| 66 |
+
"alias": "seedbench_2_plus"
|
| 67 |
+
},
|
| 68 |
+
"textvqa_val": {
|
| 69 |
+
"exact_match,none": 0.4153200001835823,
|
| 70 |
+
"exact_match_stderr,none": 0.006759985124266308,
|
| 71 |
+
"submission,none": null,
|
| 72 |
+
"submission_stderr,none": "N/A",
|
| 73 |
+
"alias": "textvqa_val"
|
| 74 |
+
}
|
| 75 |
+
},
|
| 76 |
+
"configs": {
|
| 77 |
+
"ai2d": {
|
| 78 |
+
"task": "ai2d",
|
| 79 |
+
"dataset_path": "lmms-lab/ai2d",
|
| 80 |
+
"dataset_kwargs": {
|
| 81 |
+
"token": true
|
| 82 |
+
},
|
| 83 |
+
"test_split": "test",
|
| 84 |
+
"doc_to_visual": "<function ai2d_doc_to_visual at 0x7f515d869c10>",
|
| 85 |
+
"doc_to_text": "<function ai2d_doc_to_text at 0x7f515d869ee0>",
|
| 86 |
+
"doc_to_target": "<function ai2d_doc_to_target at 0x7f515d8704c0>",
|
| 87 |
+
"description": "",
|
| 88 |
+
"target_delimiter": " ",
|
| 89 |
+
"fewshot_delimiter": "\n\n",
|
| 90 |
+
"metric_list": [
|
| 91 |
+
{
|
| 92 |
+
"metric": "exact_match",
|
| 93 |
+
"aggregation": "mean",
|
| 94 |
+
"higher_is_better": true,
|
| 95 |
+
"ignore_case": true,
|
| 96 |
+
"ignore_punctuation": true
|
| 97 |
+
}
|
| 98 |
+
],
|
| 99 |
+
"output_type": "generate_until",
|
| 100 |
+
"generation_kwargs": {
|
| 101 |
+
"max_new_tokens": 512,
|
| 102 |
+
"temperature": 0.0,
|
| 103 |
+
"do_sample": false,
|
| 104 |
+
"until": [
|
| 105 |
+
"\n\n"
|
| 106 |
+
]
|
| 107 |
+
},
|
| 108 |
+
"repeats": 1,
|
| 109 |
+
"filter_list": [
|
| 110 |
+
{
|
| 111 |
+
"name": "flexible-extract",
|
| 112 |
+
"filter": [
|
| 113 |
+
{
|
| 114 |
+
"function": "<class 'utils.MultiChoiceRegexFilter'>",
|
| 115 |
+
"group_select": 0,
|
| 116 |
+
"ignore_case": true,
|
| 117 |
+
"ignore_punctuation": true,
|
| 118 |
+
"regex_pattern": "([A-Z])\\."
|
| 119 |
+
}
|
| 120 |
+
]
|
| 121 |
+
}
|
| 122 |
+
],
|
| 123 |
+
"should_decontaminate": false,
|
| 124 |
+
"metadata": [
|
| 125 |
+
{
|
| 126 |
+
"version": 0.0
|
| 127 |
+
}
|
| 128 |
+
],
|
| 129 |
+
"model_specific_prompt_kwargs": {
|
| 130 |
+
"default": {
|
| 131 |
+
"prompt_format": "mcq",
|
| 132 |
+
"pre_prompt": "",
|
| 133 |
+
"post_prompt": "\nAnswer with the option's letter from the given choices directly."
|
| 134 |
+
},
|
| 135 |
+
"gpt4v": {
|
| 136 |
+
"prompt_format": "mcq",
|
| 137 |
+
"pre_prompt": "",
|
| 138 |
+
"post_prompt": "\nAbove choices are given in {option}. {content} format.\nPlease answer with the option letter from the given choices directly."
|
| 139 |
+
},
|
| 140 |
+
"qwen_vl": {
|
| 141 |
+
"prompt_format": "qa",
|
| 142 |
+
"pre_prompt": "",
|
| 143 |
+
"post_prompt": " Answer:"
|
| 144 |
+
},
|
| 145 |
+
"xcomposer2_4khd": {
|
| 146 |
+
"prompt_format": "mcq_xcomposer",
|
| 147 |
+
"pre_prompt": "[UNUSED_TOKEN_146]user\nQuestion: ",
|
| 148 |
+
"post_prompt": "[UNUSED_TOKEN_145]\n[UNUSED_TOKEN_146]assistant\nThe answer is"
|
| 149 |
+
}
|
| 150 |
+
},
|
| 151 |
+
"model_specific_target_kwargs": {
|
| 152 |
+
"default": "mcq",
|
| 153 |
+
"qwen_vl": "qa"
|
| 154 |
+
}
|
| 155 |
+
},
|
| 156 |
+
"infovqa_val": {
|
| 157 |
+
"task": "infovqa_val",
|
| 158 |
+
"dataset_path": "lmms-lab/DocVQA",
|
| 159 |
+
"dataset_name": "InfographicVQA",
|
| 160 |
+
"dataset_kwargs": {
|
| 161 |
+
"token": true
|
| 162 |
+
},
|
| 163 |
+
"test_split": "validation",
|
| 164 |
+
"doc_to_visual": "<function infovqa_doc_to_visual at 0x7f518efa4af0>",
|
| 165 |
+
"doc_to_text": "<function infovqa_doc_to_text at 0x7f518efa4dc0>",
|
| 166 |
+
"doc_to_target": "answers",
|
| 167 |
+
"description": "",
|
| 168 |
+
"target_delimiter": " ",
|
| 169 |
+
"fewshot_delimiter": "\n\n",
|
| 170 |
+
"metric_list": [
|
| 171 |
+
{
|
| 172 |
+
"metric": "anls",
|
| 173 |
+
"aggregation": "mean",
|
| 174 |
+
"higher_is_better": true
|
| 175 |
+
}
|
| 176 |
+
],
|
| 177 |
+
"output_type": "generate_until",
|
| 178 |
+
"generation_kwargs": {
|
| 179 |
+
"max_new_tokens": 32,
|
| 180 |
+
"temperature": 0.0,
|
| 181 |
+
"do_sample": false,
|
| 182 |
+
"until": [
|
| 183 |
+
"\n\n"
|
| 184 |
+
]
|
| 185 |
+
},
|
| 186 |
+
"repeats": 1,
|
| 187 |
+
"should_decontaminate": false,
|
| 188 |
+
"model_specific_prompt_kwargs": {
|
| 189 |
+
"default": {
|
| 190 |
+
"pre_prompt": "",
|
| 191 |
+
"post_prompt": "\nAnswer the question using a single word or phrase."
|
| 192 |
+
}
|
| 193 |
+
}
|
| 194 |
+
},
|
| 195 |
+
"mmbench_en_dev": {
|
| 196 |
+
"task": "mmbench_en_dev",
|
| 197 |
+
"dataset_path": "lmms-lab/MMBench",
|
| 198 |
+
"dataset_name": "en",
|
| 199 |
+
"dataset_kwargs": {
|
| 200 |
+
"token": true
|
| 201 |
+
},
|
| 202 |
+
"test_split": "dev",
|
| 203 |
+
"doc_to_visual": "<function mmbench_doc_to_visual at 0x7f51bcac4550>",
|
| 204 |
+
"doc_to_text": "<function mmbench_doc_to_text at 0x7f51bcac4a60>",
|
| 205 |
+
"doc_to_target": "answer",
|
| 206 |
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"process_results": "<function mmbench_process_results at 0x7f51bcac4f70>",
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{
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| 212 |
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{
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| 217 |
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| 218 |
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| 219 |
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| 247 |
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| 248 |
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| 249 |
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"task": "mme",
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| 250 |
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| 264 |
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| 266 |
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| 313 |
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}
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| 314 |
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},
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| 315 |
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| 316 |
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"task": "mmerealworld_lite",
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| 317 |
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"dataset_path": "yifanzhang114/MME-RealWorld-lite-lmms-eval",
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| 318 |
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| 364 |
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{
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{
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{
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| 131 |
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},
|
| 132 |
+
"n-shot": {
|
| 133 |
+
"hallusion_bench_image": 0,
|
| 134 |
+
"mathvista_testmini": 0
|
| 135 |
+
},
|
| 136 |
+
"model_configs": {
|
| 137 |
+
"model": "llava",
|
| 138 |
+
"model_args": "pretrained=/cm/archive/namnv78/checkpoints/Xphi35-siglip224/SMOE/1M3/Full_smoe_tcmoe,conv_template=phi35",
|
| 139 |
+
"batch_size": "1",
|
| 140 |
+
"device": null,
|
| 141 |
+
"limit": null,
|
| 142 |
+
"bootstrap_iters": 100000,
|
| 143 |
+
"gen_kwargs": ""
|
| 144 |
+
},
|
| 145 |
+
"git_hash": "289c7fe5"
|
| 146 |
+
}
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0312_llava...image_llava_model_args_59313d/submissions/mathvista_testmini_scores.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/ocrbench.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/rank0_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 0 eval done
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/rank1_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 1 eval done
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/rank2_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 2 eval done
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/rank3_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 3 eval done
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/results.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
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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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|
|
|
|
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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 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"ocrbench": {
|
| 4 |
+
"ocrbench_accuracy,none": 0.403,
|
| 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 0x7fef73b47ca0>",
|
| 18 |
+
"doc_to_text": "<function ocrbench_doc_to_text at 0x7fef73561280>",
|
| 19 |
+
"doc_to_target": "answer",
|
| 20 |
+
"process_results": "<function ocrbench_process_results at 0x7fef735615e0>",
|
| 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 0x7fef73561940>",
|
| 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/checkpoints/Xphi35-siglip224/SMOE/1M3/Full_smoe_tcmoe,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/1M3/Full_smoe_tcmoe/logs/0629_0328_llava...bench_llava_model_args_59313d/results/ocrbench_results.txt
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
| 1 |
+
######################### OCRBench #############################
|
| 2 |
+
Text Recognition(Total 300): 205
|
| 3 |
+
---------------- Details of Recognition Score ------------------
|
| 4 |
+
Regular Text Recognition(Total 50): 46
|
| 5 |
+
Irregular Text Recognition(Total 50): 43
|
| 6 |
+
Artistic Text Recognition(Total 50): 41
|
| 7 |
+
Handwriting Recognition(Total 50): 20
|
| 8 |
+
Digit String Recognition(Total 50): 32
|
| 9 |
+
Non-Semantic Text Recognition(Total 50): 23
|
| 10 |
+
----------------------------------------------------------------
|
| 11 |
+
Scene Text-centric VQA(Total 200): 119
|
| 12 |
+
----------------------------------------------------------------
|
| 13 |
+
Doc-oriented VQA(Total 200): 26
|
| 14 |
+
----------------------------------------------------------------
|
| 15 |
+
Key Information Extraction(Total 200): 17
|
| 16 |
+
Handwritten Mathematical Expression Recognition(Total 100): 36
|
| 17 |
+
--------------------- Final Score ------------------------------
|
| 18 |
+
Final Score(Total 1000): 403
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/chartqa.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/docvqa_val.json
ADDED
|
The diff for this file is too large to render.
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|
|
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/mmmu_pro_standard.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/mmmu_pro_vision.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/rank0_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 0 eval done
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/rank1_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 1 eval done
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/rank2_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 2 eval done
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/rank3_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 3 eval done
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/realworldqa.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/1M3/Full_smoe_tcmoe/logs/0629_0342_llava...u_pro_llava_model_args_59313d/results.json
ADDED
|
@@ -0,0 +1,318 @@
|
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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 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"chartqa": {
|
| 4 |
+
"relaxed_overall,none": 0.2096,
|
| 5 |
+
"relaxed_overall_stderr,none": 0.008142091467269576,
|
| 6 |
+
"relaxed_human_split,none": 0.2368,
|
| 7 |
+
"relaxed_human_split_stderr,none": 0.012028980218292438,
|
| 8 |
+
"relaxed_augmented_split,none": 0.1824,
|
| 9 |
+
"relaxed_augmented_split_stderr,none": 0.010927017514830552,
|
| 10 |
+
"alias": "chartqa"
|
| 11 |
+
},
|
| 12 |
+
"docvqa_val": {
|
| 13 |
+
"anls,none": 0.27930454290521595,
|
| 14 |
+
"anls_stderr,none": 0.0061350653443689685,
|
| 15 |
+
"alias": "docvqa_val"
|
| 16 |
+
},
|
| 17 |
+
"mmmu_pro": {
|
| 18 |
+
"mmmu_acc,none": 0.20058,
|
| 19 |
+
"mmmu_acc_stderr,none": 0.03555513839707822,
|
| 20 |
+
"alias": "mmmu_pro"
|
| 21 |
+
},
|
| 22 |
+
"mmmu_pro_standard": {
|
| 23 |
+
"mmmu_acc,none": 0.27168,
|
| 24 |
+
"mmmu_acc_stderr,none": "N/A",
|
| 25 |
+
"alias": " - mmmu_pro_standard"
|
| 26 |
+
},
|
| 27 |
+
"mmmu_pro_vision": {
|
| 28 |
+
"mmmu_acc,none": 0.12948,
|
| 29 |
+
"mmmu_acc_stderr,none": "N/A",
|
| 30 |
+
"alias": " - mmmu_pro_vision"
|
| 31 |
+
},
|
| 32 |
+
"realworldqa": {
|
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