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#75
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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 +12 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/ai2d.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/mmbench_en_dev.json +3 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/mmerealworld_lite.json +3 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/mmmu_val.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/mmstar.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/pope.json +3 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/rank0_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/rank1_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/rank2_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/rank3_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/results.json +488 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/submissions/mmbench_en_dev_results.json +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/submissions/mmbench_en_dev_results.xlsx +3 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/submissions/textvqa_submission_2025-06-25-14-51-08.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1531_llava..._pope_llava_model_args_179bff/textvqa_val.json +3 -0
- sft/1M3/revise_Full_remoe/logs/0625_1552_llava...image_llava_model_args_179bff/gpt_response/hallusion_output_vd_model.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1552_llava...image_llava_model_args_179bff/gpt_response/hallusion_output_vs_model.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1552_llava...image_llava_model_args_179bff/rank1_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1552_llava...image_llava_model_args_179bff/rank2_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1552_llava...image_llava_model_args_179bff/rank3_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/ai2d.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/mmbench_en_dev.json +3 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/mmerealworld_lite.json +3 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/mmmu_val.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/mmstar.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/pope.json +3 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/rank0_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/rank1_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/rank2_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/rank3_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/results.json +488 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/submissions/mmbench_en_dev_results.json +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/submissions/mmbench_en_dev_results.xlsx +3 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/submissions/textvqa_submission_2025-06-25-16-39-07.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/textvqa_val.json +3 -0
- sft/1M3/revise_Full_remoe/logs/0625_1740_llava...l_mme_llava_model_args_179bff/docvqa_val.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1740_llava...l_mme_llava_model_args_179bff/mme.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1740_llava...l_mme_llava_model_args_179bff/rank0_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1740_llava...l_mme_llava_model_args_179bff/rank1_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1740_llava...l_mme_llava_model_args_179bff/rank2_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1740_llava...l_mme_llava_model_args_179bff/rank3_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1740_llava...l_mme_llava_model_args_179bff/results.json +215 -0
- sft/1M3/revise_Full_remoe/logs/0625_1740_llava...l_mme_llava_model_args_179bff/scienceqa_img.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/infovqa_val.json +3 -0
- sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/mmmu_pro_standard.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/mmmu_pro_vision.json +0 -0
- sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/rank0_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/rank1_metric_eval_done.txt +1 -0
- sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/rank2_metric_eval_done.txt +1 -0
.gitattributes
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"ai2d": {
|
| 4 |
+
"exact_match,flexible-extract": 0.6369818652849741,
|
| 5 |
+
"exact_match_stderr,flexible-extract": 0.008654846701304468,
|
| 6 |
+
"alias": "ai2d"
|
| 7 |
+
},
|
| 8 |
+
"mmbench_en_dev": {
|
| 9 |
+
"gpt_eval_score,none": 55.2405498281787,
|
| 10 |
+
"gpt_eval_score_stderr,none": "N/A",
|
| 11 |
+
"submission,none": null,
|
| 12 |
+
"submission_stderr,none": "N/A",
|
| 13 |
+
"alias": "mmbench_en_dev"
|
| 14 |
+
},
|
| 15 |
+
"mmerealworld_lite": {
|
| 16 |
+
"mme_realworld_score,none": 0.2850442939030745,
|
| 17 |
+
"mme_realworld_score_stderr,none": "N/A",
|
| 18 |
+
"alias": "mmerealworld_lite"
|
| 19 |
+
},
|
| 20 |
+
"mmmu_val": {
|
| 21 |
+
"mmmu_acc,none": 0.40111,
|
| 22 |
+
"mmmu_acc_stderr,none": "N/A",
|
| 23 |
+
"alias": "mmmu_val"
|
| 24 |
+
},
|
| 25 |
+
"mmstar": {
|
| 26 |
+
"coarse perception,none": 0.5149000698074137,
|
| 27 |
+
"coarse perception_stderr,none": "N/A",
|
| 28 |
+
"fine-grained perception,none": 0.25612257430606733,
|
| 29 |
+
"fine-grained perception_stderr,none": "N/A",
|
| 30 |
+
"instance reasoning,none": 0.4350976235717084,
|
| 31 |
+
"instance reasoning_stderr,none": "N/A",
|
| 32 |
+
"logical reasoning,none": 0.3274327432743274,
|
| 33 |
+
"logical reasoning_stderr,none": "N/A",
|
| 34 |
+
"math,none": 0.35330348391695626,
|
| 35 |
+
"math_stderr,none": "N/A",
|
| 36 |
+
"science & technology,none": 0.26435070136164796,
|
| 37 |
+
"science & technology_stderr,none": "N/A",
|
| 38 |
+
"alias": "mmstar"
|
| 39 |
+
},
|
| 40 |
+
"pope": {
|
| 41 |
+
"pope_accuracy,none": 0.21433333333333332,
|
| 42 |
+
"pope_accuracy_stderr,none": "N/A",
|
| 43 |
+
"pope_precision,none": 0.7677725118483413,
|
| 44 |
+
"pope_precision_stderr,none": "N/A",
|
| 45 |
+
"pope_recall,none": 0.9055338177752935,
|
| 46 |
+
"pope_recall_stderr,none": "N/A",
|
| 47 |
+
"pope_f1_score,none": 0.830982303154655,
|
| 48 |
+
"pope_f1_score_stderr,none": "N/A",
|
| 49 |
+
"pope_yes_ratio,none": 0.5,
|
| 50 |
+
"pope_yes_ratio_stderr,none": "N/A",
|
| 51 |
+
"alias": "pope"
|
| 52 |
+
},
|
| 53 |
+
"textvqa_val": {
|
| 54 |
+
"exact_match,none": 0.19080000010728837,
|
| 55 |
+
"exact_match_stderr,none": 0.005413033542389061,
|
| 56 |
+
"submission,none": null,
|
| 57 |
+
"submission_stderr,none": "N/A",
|
| 58 |
+
"alias": "textvqa_val"
|
| 59 |
+
}
|
| 60 |
+
},
|
| 61 |
+
"configs": {
|
| 62 |
+
"ai2d": {
|
| 63 |
+
"task": "ai2d",
|
| 64 |
+
"dataset_path": "lmms-lab/ai2d",
|
| 65 |
+
"dataset_kwargs": {
|
| 66 |
+
"token": true
|
| 67 |
+
},
|
| 68 |
+
"test_split": "test",
|
| 69 |
+
"doc_to_visual": "<function ai2d_doc_to_visual at 0x7fa8edb12ca0>",
|
| 70 |
+
"doc_to_text": "<function ai2d_doc_to_text at 0x7fa8edb12f70>",
|
| 71 |
+
"doc_to_target": "<function ai2d_doc_to_target at 0x7fa8edb1b550>",
|
| 72 |
+
"description": "",
|
| 73 |
+
"target_delimiter": " ",
|
| 74 |
+
"fewshot_delimiter": "\n\n",
|
| 75 |
+
"metric_list": [
|
| 76 |
+
{
|
| 77 |
+
"metric": "exact_match",
|
| 78 |
+
"aggregation": "mean",
|
| 79 |
+
"higher_is_better": true,
|
| 80 |
+
"ignore_case": true,
|
| 81 |
+
"ignore_punctuation": true
|
| 82 |
+
}
|
| 83 |
+
],
|
| 84 |
+
"output_type": "generate_until",
|
| 85 |
+
"generation_kwargs": {
|
| 86 |
+
"max_new_tokens": 512,
|
| 87 |
+
"temperature": 0.0,
|
| 88 |
+
"do_sample": false,
|
| 89 |
+
"until": [
|
| 90 |
+
"\n\n"
|
| 91 |
+
]
|
| 92 |
+
},
|
| 93 |
+
"repeats": 1,
|
| 94 |
+
"filter_list": [
|
| 95 |
+
{
|
| 96 |
+
"name": "flexible-extract",
|
| 97 |
+
"filter": [
|
| 98 |
+
{
|
| 99 |
+
"function": "<class 'utils.MultiChoiceRegexFilter'>",
|
| 100 |
+
"group_select": 0,
|
| 101 |
+
"ignore_case": true,
|
| 102 |
+
"ignore_punctuation": true,
|
| 103 |
+
"regex_pattern": "([A-Z])\\."
|
| 104 |
+
}
|
| 105 |
+
]
|
| 106 |
+
}
|
| 107 |
+
],
|
| 108 |
+
"should_decontaminate": false,
|
| 109 |
+
"metadata": [
|
| 110 |
+
{
|
| 111 |
+
"version": 0.0
|
| 112 |
+
}
|
| 113 |
+
],
|
| 114 |
+
"model_specific_prompt_kwargs": {
|
| 115 |
+
"default": {
|
| 116 |
+
"prompt_format": "mcq",
|
| 117 |
+
"pre_prompt": "",
|
| 118 |
+
"post_prompt": "\nAnswer with the option's letter from the given choices directly."
|
| 119 |
+
},
|
| 120 |
+
"gpt4v": {
|
| 121 |
+
"prompt_format": "mcq",
|
| 122 |
+
"pre_prompt": "",
|
| 123 |
+
"post_prompt": "\nAbove choices are given in {option}. {content} format.\nPlease answer with the option letter from the given choices directly."
|
| 124 |
+
},
|
| 125 |
+
"qwen_vl": {
|
| 126 |
+
"prompt_format": "qa",
|
| 127 |
+
"pre_prompt": "",
|
| 128 |
+
"post_prompt": " Answer:"
|
| 129 |
+
},
|
| 130 |
+
"xcomposer2_4khd": {
|
| 131 |
+
"prompt_format": "mcq_xcomposer",
|
| 132 |
+
"pre_prompt": "[UNUSED_TOKEN_146]user\nQuestion: ",
|
| 133 |
+
"post_prompt": "[UNUSED_TOKEN_145]\n[UNUSED_TOKEN_146]assistant\nThe answer is"
|
| 134 |
+
}
|
| 135 |
+
},
|
| 136 |
+
"model_specific_target_kwargs": {
|
| 137 |
+
"default": "mcq",
|
| 138 |
+
"qwen_vl": "qa"
|
| 139 |
+
}
|
| 140 |
+
},
|
| 141 |
+
"mmbench_en_dev": {
|
| 142 |
+
"task": "mmbench_en_dev",
|
| 143 |
+
"dataset_path": "lmms-lab/MMBench",
|
| 144 |
+
"dataset_name": "en",
|
| 145 |
+
"dataset_kwargs": {
|
| 146 |
+
"token": true
|
| 147 |
+
},
|
| 148 |
+
"test_split": "dev",
|
| 149 |
+
"doc_to_visual": "<function mmbench_doc_to_visual at 0x7fa94cd6f550>",
|
| 150 |
+
"doc_to_text": "<function mmbench_doc_to_text at 0x7fa94cd6fa60>",
|
| 151 |
+
"doc_to_target": "answer",
|
| 152 |
+
"process_results": "<function mmbench_process_results at 0x7fa94cd6ff70>",
|
| 153 |
+
"description": "",
|
| 154 |
+
"target_delimiter": " ",
|
| 155 |
+
"fewshot_delimiter": "\n\n",
|
| 156 |
+
"metric_list": [
|
| 157 |
+
{
|
| 158 |
+
"metric": "gpt_eval_score",
|
| 159 |
+
"aggregation": "<function mmbench_aggregate_dev_results_eval at 0x7fa94cd65dc0>",
|
| 160 |
+
"higher_is_better": true
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"metric": "submission",
|
| 164 |
+
"aggregation": "<function mmbench_aggregate_dev_results_submission at 0x7fa94cd6f310>",
|
| 165 |
+
"higher_is_better": true
|
| 166 |
+
}
|
| 167 |
+
],
|
| 168 |
+
"output_type": "generate_until",
|
| 169 |
+
"generation_kwargs": {
|
| 170 |
+
"until": [
|
| 171 |
+
"ASSISTANT:"
|
| 172 |
+
],
|
| 173 |
+
"max_new_tokens": 1024,
|
| 174 |
+
"temperature": 0.0,
|
| 175 |
+
"top_p": 1.0,
|
| 176 |
+
"num_beams": 1,
|
| 177 |
+
"do_sample": false,
|
| 178 |
+
"image_aspect_ratio": "original"
|
| 179 |
+
},
|
| 180 |
+
"repeats": 1,
|
| 181 |
+
"should_decontaminate": false,
|
| 182 |
+
"model_specific_prompt_kwargs": {
|
| 183 |
+
"default": {
|
| 184 |
+
"pre_prompt": "",
|
| 185 |
+
"post_prompt": "\nAnswer with the option's letter from the given choices directly."
|
| 186 |
+
}
|
| 187 |
+
},
|
| 188 |
+
"model_specific_generation_kwargs": {
|
| 189 |
+
"llava": {
|
| 190 |
+
"image_aspect_ratio": "original"
|
| 191 |
+
}
|
| 192 |
+
}
|
| 193 |
+
},
|
| 194 |
+
"mmerealworld_lite": {
|
| 195 |
+
"task": "mmerealworld_lite",
|
| 196 |
+
"dataset_path": "yifanzhang114/MME-RealWorld-lite-lmms-eval",
|
| 197 |
+
"dataset_kwargs": {
|
| 198 |
+
"token": true
|
| 199 |
+
},
|
| 200 |
+
"test_split": "train",
|
| 201 |
+
"doc_to_visual": "<function mme_realworld_doc_to_visual at 0x7fa8ee2bce50>",
|
| 202 |
+
"doc_to_text": "<function mme_realworld_doc_to_text at 0x7fa8ee2c0940>",
|
| 203 |
+
"doc_to_target": "answer",
|
| 204 |
+
"process_results": "<function mme_realworld_process_results at 0x7fa8ee2c85e0>",
|
| 205 |
+
"description": "",
|
| 206 |
+
"target_delimiter": " ",
|
| 207 |
+
"fewshot_delimiter": "\n\n",
|
| 208 |
+
"metric_list": [
|
| 209 |
+
{
|
| 210 |
+
"metric": "mme_realworld_score",
|
| 211 |
+
"aggregation": "<function mme_realworld_aggregate_results at 0x7fa8ee2cb160>",
|
| 212 |
+
"higher_is_better": true
|
| 213 |
+
}
|
| 214 |
+
],
|
| 215 |
+
"output_type": "generate_until",
|
| 216 |
+
"generation_kwargs": {
|
| 217 |
+
"max_new_tokens": 16,
|
| 218 |
+
"temperature": 0.0,
|
| 219 |
+
"top_p": 1.0,
|
| 220 |
+
"num_beams": 1,
|
| 221 |
+
"do_sample": false,
|
| 222 |
+
"until": [
|
| 223 |
+
"\n\n"
|
| 224 |
+
]
|
| 225 |
+
},
|
| 226 |
+
"repeats": 1,
|
| 227 |
+
"should_decontaminate": false,
|
| 228 |
+
"metadata": [
|
| 229 |
+
{
|
| 230 |
+
"version": 0.0
|
| 231 |
+
}
|
| 232 |
+
],
|
| 233 |
+
"model_specific_prompt_kwargs": {
|
| 234 |
+
"default": {
|
| 235 |
+
"pre_prompt": "",
|
| 236 |
+
"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."
|
| 237 |
+
},
|
| 238 |
+
"gpt4v": {
|
| 239 |
+
"pre_prompt": "",
|
| 240 |
+
"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."
|
| 241 |
+
},
|
| 242 |
+
"xcomposer2_4khd": {
|
| 243 |
+
"pre_prompt": "[UNUSED_TOKEN_146]user\n",
|
| 244 |
+
"post_prompt": " Answer this question with A, B, C, or D.[UNUSED_TOKEN_145]\n[UNUSED_TOKEN_146]assistant\n"
|
| 245 |
+
}
|
| 246 |
+
}
|
| 247 |
+
},
|
| 248 |
+
"mmmu_val": {
|
| 249 |
+
"task": "mmmu_val",
|
| 250 |
+
"dataset_path": "lmms-lab/MMMU",
|
| 251 |
+
"test_split": "validation",
|
| 252 |
+
"doc_to_visual": "<function mmmu_doc_to_visual at 0x7fa8ffbaf8b0>",
|
| 253 |
+
"doc_to_text": "<function mmmu_doc_to_text at 0x7fa8ffac45e0>",
|
| 254 |
+
"doc_to_target": "answer",
|
| 255 |
+
"process_results": "<function mmmu_process_results at 0x7fa8ff9b64c0>",
|
| 256 |
+
"description": "",
|
| 257 |
+
"target_delimiter": " ",
|
| 258 |
+
"fewshot_delimiter": "\n\n",
|
| 259 |
+
"metric_list": [
|
| 260 |
+
{
|
| 261 |
+
"metric": "mmmu_acc",
|
| 262 |
+
"aggregation": "<function mmmu_aggregate_results at 0x7fa8ff985430>",
|
| 263 |
+
"higher_is_better": true
|
| 264 |
+
}
|
| 265 |
+
],
|
| 266 |
+
"output_type": "generate_until",
|
| 267 |
+
"generation_kwargs": {
|
| 268 |
+
"max_new_tokens": 128,
|
| 269 |
+
"until": [
|
| 270 |
+
"\n\n"
|
| 271 |
+
],
|
| 272 |
+
"image_aspect_ratio": "original"
|
| 273 |
+
},
|
| 274 |
+
"repeats": 1,
|
| 275 |
+
"should_decontaminate": false,
|
| 276 |
+
"metadata": [
|
| 277 |
+
{
|
| 278 |
+
"version": 0.0
|
| 279 |
+
}
|
| 280 |
+
],
|
| 281 |
+
"model_specific_generation_kwargs": {
|
| 282 |
+
"llava": {
|
| 283 |
+
"image_aspect_ratio": "original"
|
| 284 |
+
}
|
| 285 |
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}
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rank 0 eval done
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sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/rank1_metric_eval_done.txt
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rank 1 eval done
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sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/rank2_metric_eval_done.txt
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sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/rank3_metric_eval_done.txt
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rank 3 eval done
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sft/1M3/revise_Full_remoe/logs/0625_1719_llava..._pope_llava_model_args_179bff/results.json
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|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"ai2d": {
|
| 4 |
+
"exact_match,flexible-extract": 0.6292098445595855,
|
| 5 |
+
"exact_match_stderr,flexible-extract": 0.008693477555877334,
|
| 6 |
+
"alias": "ai2d"
|
| 7 |
+
},
|
| 8 |
+
"mmbench_en_dev": {
|
| 9 |
+
"gpt_eval_score,none": 55.2405498281787,
|
| 10 |
+
"gpt_eval_score_stderr,none": "N/A",
|
| 11 |
+
"submission,none": null,
|
| 12 |
+
"submission_stderr,none": "N/A",
|
| 13 |
+
"alias": "mmbench_en_dev"
|
| 14 |
+
},
|
| 15 |
+
"mmerealworld_lite": {
|
| 16 |
+
"mme_realworld_score,none": 0.2850442939030745,
|
| 17 |
+
"mme_realworld_score_stderr,none": "N/A",
|
| 18 |
+
"alias": "mmerealworld_lite"
|
| 19 |
+
},
|
| 20 |
+
"mmmu_val": {
|
| 21 |
+
"mmmu_acc,none": 0.40111,
|
| 22 |
+
"mmmu_acc_stderr,none": "N/A",
|
| 23 |
+
"alias": "mmmu_val"
|
| 24 |
+
},
|
| 25 |
+
"mmstar": {
|
| 26 |
+
"coarse perception,none": 0.5149000698074137,
|
| 27 |
+
"coarse perception_stderr,none": "N/A",
|
| 28 |
+
"fine-grained perception,none": 0.25612257430606733,
|
| 29 |
+
"fine-grained perception_stderr,none": "N/A",
|
| 30 |
+
"instance reasoning,none": 0.4350976235717084,
|
| 31 |
+
"instance reasoning_stderr,none": "N/A",
|
| 32 |
+
"logical reasoning,none": 0.3274327432743274,
|
| 33 |
+
"logical reasoning_stderr,none": "N/A",
|
| 34 |
+
"math,none": 0.35330348391695626,
|
| 35 |
+
"math_stderr,none": "N/A",
|
| 36 |
+
"science & technology,none": 0.26435070136164796,
|
| 37 |
+
"science & technology_stderr,none": "N/A",
|
| 38 |
+
"alias": "mmstar"
|
| 39 |
+
},
|
| 40 |
+
"pope": {
|
| 41 |
+
"pope_accuracy,none": 0.21433333333333332,
|
| 42 |
+
"pope_accuracy_stderr,none": "N/A",
|
| 43 |
+
"pope_precision,none": 0.7677725118483413,
|
| 44 |
+
"pope_precision_stderr,none": "N/A",
|
| 45 |
+
"pope_recall,none": 0.9055338177752935,
|
| 46 |
+
"pope_recall_stderr,none": "N/A",
|
| 47 |
+
"pope_f1_score,none": 0.830982303154655,
|
| 48 |
+
"pope_f1_score_stderr,none": "N/A",
|
| 49 |
+
"pope_yes_ratio,none": 0.5,
|
| 50 |
+
"pope_yes_ratio_stderr,none": "N/A",
|
| 51 |
+
"alias": "pope"
|
| 52 |
+
},
|
| 53 |
+
"textvqa_val": {
|
| 54 |
+
"exact_match,none": 0.19080000010728837,
|
| 55 |
+
"exact_match_stderr,none": 0.005413033542389061,
|
| 56 |
+
"submission,none": null,
|
| 57 |
+
"submission_stderr,none": "N/A",
|
| 58 |
+
"alias": "textvqa_val"
|
| 59 |
+
}
|
| 60 |
+
},
|
| 61 |
+
"configs": {
|
| 62 |
+
"ai2d": {
|
| 63 |
+
"task": "ai2d",
|
| 64 |
+
"dataset_path": "lmms-lab/ai2d",
|
| 65 |
+
"dataset_kwargs": {
|
| 66 |
+
"token": true
|
| 67 |
+
},
|
| 68 |
+
"test_split": "test",
|
| 69 |
+
"doc_to_visual": "<function ai2d_doc_to_visual at 0x7fdf47fafca0>",
|
| 70 |
+
"doc_to_text": "<function ai2d_doc_to_text at 0x7fdf47faff70>",
|
| 71 |
+
"doc_to_target": "<function ai2d_doc_to_target at 0x7fdf47fb8550>",
|
| 72 |
+
"description": "",
|
| 73 |
+
"target_delimiter": " ",
|
| 74 |
+
"fewshot_delimiter": "\n\n",
|
| 75 |
+
"metric_list": [
|
| 76 |
+
{
|
| 77 |
+
"metric": "exact_match",
|
| 78 |
+
"aggregation": "mean",
|
| 79 |
+
"higher_is_better": true,
|
| 80 |
+
"ignore_case": true,
|
| 81 |
+
"ignore_punctuation": true
|
| 82 |
+
}
|
| 83 |
+
],
|
| 84 |
+
"output_type": "generate_until",
|
| 85 |
+
"generation_kwargs": {
|
| 86 |
+
"max_new_tokens": 512,
|
| 87 |
+
"temperature": 0.0,
|
| 88 |
+
"do_sample": false,
|
| 89 |
+
"until": [
|
| 90 |
+
"\n\n"
|
| 91 |
+
]
|
| 92 |
+
},
|
| 93 |
+
"repeats": 1,
|
| 94 |
+
"filter_list": [
|
| 95 |
+
{
|
| 96 |
+
"name": "flexible-extract",
|
| 97 |
+
"filter": [
|
| 98 |
+
{
|
| 99 |
+
"function": "<class 'utils.MultiChoiceRegexFilter'>",
|
| 100 |
+
"group_select": 0,
|
| 101 |
+
"ignore_case": true,
|
| 102 |
+
"ignore_punctuation": true,
|
| 103 |
+
"regex_pattern": "([A-Z])\\."
|
| 104 |
+
}
|
| 105 |
+
]
|
| 106 |
+
}
|
| 107 |
+
],
|
| 108 |
+
"should_decontaminate": false,
|
| 109 |
+
"metadata": [
|
| 110 |
+
{
|
| 111 |
+
"version": 0.0
|
| 112 |
+
}
|
| 113 |
+
],
|
| 114 |
+
"model_specific_prompt_kwargs": {
|
| 115 |
+
"default": {
|
| 116 |
+
"prompt_format": "mcq",
|
| 117 |
+
"pre_prompt": "",
|
| 118 |
+
"post_prompt": "\nAnswer with the option's letter from the given choices directly."
|
| 119 |
+
},
|
| 120 |
+
"gpt4v": {
|
| 121 |
+
"prompt_format": "mcq",
|
| 122 |
+
"pre_prompt": "",
|
| 123 |
+
"post_prompt": "\nAbove choices are given in {option}. {content} format.\nPlease answer with the option letter from the given choices directly."
|
| 124 |
+
},
|
| 125 |
+
"qwen_vl": {
|
| 126 |
+
"prompt_format": "qa",
|
| 127 |
+
"pre_prompt": "",
|
| 128 |
+
"post_prompt": " Answer:"
|
| 129 |
+
},
|
| 130 |
+
"xcomposer2_4khd": {
|
| 131 |
+
"prompt_format": "mcq_xcomposer",
|
| 132 |
+
"pre_prompt": "[UNUSED_TOKEN_146]user\nQuestion: ",
|
| 133 |
+
"post_prompt": "[UNUSED_TOKEN_145]\n[UNUSED_TOKEN_146]assistant\nThe answer is"
|
| 134 |
+
}
|
| 135 |
+
},
|
| 136 |
+
"model_specific_target_kwargs": {
|
| 137 |
+
"default": "mcq",
|
| 138 |
+
"qwen_vl": "qa"
|
| 139 |
+
}
|
| 140 |
+
},
|
| 141 |
+
"mmbench_en_dev": {
|
| 142 |
+
"task": "mmbench_en_dev",
|
| 143 |
+
"dataset_path": "lmms-lab/MMBench",
|
| 144 |
+
"dataset_name": "en",
|
| 145 |
+
"dataset_kwargs": {
|
| 146 |
+
"token": true
|
| 147 |
+
},
|
| 148 |
+
"test_split": "dev",
|
| 149 |
+
"doc_to_visual": "<function mmbench_doc_to_visual at 0x7fdfa83ca550>",
|
| 150 |
+
"doc_to_text": "<function mmbench_doc_to_text at 0x7fdfa83caa60>",
|
| 151 |
+
"doc_to_target": "answer",
|
| 152 |
+
"process_results": "<function mmbench_process_results at 0x7fdfa83caf70>",
|
| 153 |
+
"description": "",
|
| 154 |
+
"target_delimiter": " ",
|
| 155 |
+
"fewshot_delimiter": "\n\n",
|
| 156 |
+
"metric_list": [
|
| 157 |
+
{
|
| 158 |
+
"metric": "gpt_eval_score",
|
| 159 |
+
"aggregation": "<function mmbench_aggregate_dev_results_eval at 0x7fdfa8440dc0>",
|
| 160 |
+
"higher_is_better": true
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"metric": "submission",
|
| 164 |
+
"aggregation": "<function mmbench_aggregate_dev_results_submission at 0x7fdfa83ca310>",
|
| 165 |
+
"higher_is_better": true
|
| 166 |
+
}
|
| 167 |
+
],
|
| 168 |
+
"output_type": "generate_until",
|
| 169 |
+
"generation_kwargs": {
|
| 170 |
+
"until": [
|
| 171 |
+
"ASSISTANT:"
|
| 172 |
+
],
|
| 173 |
+
"max_new_tokens": 1024,
|
| 174 |
+
"temperature": 0.0,
|
| 175 |
+
"top_p": 1.0,
|
| 176 |
+
"num_beams": 1,
|
| 177 |
+
"do_sample": false,
|
| 178 |
+
"image_aspect_ratio": "original"
|
| 179 |
+
},
|
| 180 |
+
"repeats": 1,
|
| 181 |
+
"should_decontaminate": false,
|
| 182 |
+
"model_specific_prompt_kwargs": {
|
| 183 |
+
"default": {
|
| 184 |
+
"pre_prompt": "",
|
| 185 |
+
"post_prompt": "\nAnswer with the option's letter from the given choices directly."
|
| 186 |
+
}
|
| 187 |
+
},
|
| 188 |
+
"model_specific_generation_kwargs": {
|
| 189 |
+
"llava": {
|
| 190 |
+
"image_aspect_ratio": "original"
|
| 191 |
+
}
|
| 192 |
+
}
|
| 193 |
+
},
|
| 194 |
+
"mmerealworld_lite": {
|
| 195 |
+
"task": "mmerealworld_lite",
|
| 196 |
+
"dataset_path": "yifanzhang114/MME-RealWorld-lite-lmms-eval",
|
| 197 |
+
"dataset_kwargs": {
|
| 198 |
+
"token": true
|
| 199 |
+
},
|
| 200 |
+
"test_split": "train",
|
| 201 |
+
"doc_to_visual": "<function mme_realworld_doc_to_visual at 0x7fdf48759e50>",
|
| 202 |
+
"doc_to_text": "<function mme_realworld_doc_to_text at 0x7fdf4875d940>",
|
| 203 |
+
"doc_to_target": "answer",
|
| 204 |
+
"process_results": "<function mme_realworld_process_results at 0x7fdf487645e0>",
|
| 205 |
+
"description": "",
|
| 206 |
+
"target_delimiter": " ",
|
| 207 |
+
"fewshot_delimiter": "\n\n",
|
| 208 |
+
"metric_list": [
|
| 209 |
+
{
|
| 210 |
+
"metric": "mme_realworld_score",
|
| 211 |
+
"aggregation": "<function mme_realworld_aggregate_results at 0x7fdf48768160>",
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| 1 |
+
{
|
| 2 |
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"results": {
|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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| 7 |
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|
| 9 |
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| 11 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 18 |
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|
| 19 |
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| 20 |
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},
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| 21 |
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|
| 22 |
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|
| 23 |
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"task": "docvqa_val",
|
| 24 |
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"dataset_path": "lmms-lab/DocVQA",
|
| 25 |
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|
| 26 |
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"dataset_kwargs": {
|
| 27 |
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"token": true
|
| 28 |
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},
|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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{
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| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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| 47 |
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|
| 48 |
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| 49 |
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|
| 50 |
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| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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|
| 63 |
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|
| 64 |
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| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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| 76 |
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| 77 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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|
| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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|
| 90 |
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| 91 |
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| 92 |
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| 108 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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|
| 128 |
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| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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| 137 |
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|
| 138 |
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| 139 |
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|
| 140 |
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| 144 |
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| 146 |
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| 147 |
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| 148 |
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{
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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|
| 154 |
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|
| 155 |
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| 156 |
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| 157 |
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| 158 |
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| 159 |
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| 160 |
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| 161 |
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| 163 |
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| 164 |
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| 165 |
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| 168 |
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| 170 |
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| 172 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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|
| 198 |
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|
| 199 |
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| 200 |
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| 201 |
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| 202 |
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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"model": "llava",
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| 207 |
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| 208 |
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"batch_size": "1",
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| 213 |
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},
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| 214 |
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"git_hash": "289c7fe5"
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| 215 |
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}
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sft/1M3/revise_Full_remoe/logs/0625_1740_llava...l_mme_llava_model_args_179bff/scienceqa_img.json
ADDED
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sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/infovqa_val.json
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:919df637cc0e9a4231bc4b409d9d6870bfa4cfc858793bca4b4348a654587d48
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| 3 |
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size 576443538
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sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/mmmu_pro_standard.json
ADDED
|
The diff for this file is too large to render.
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sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/mmmu_pro_vision.json
ADDED
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The diff for this file is too large to render.
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sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/rank0_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
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|
|
|
|
|
|
| 1 |
+
rank 0 eval done
|
sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/rank1_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 1 eval done
|
sft/1M3/revise_Full_remoe/logs/0625_1751_llava...a_val_llava_model_args_179bff/rank2_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
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|
|
|
|
|
|
| 1 |
+
rank 2 eval done
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