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- ee5e735923a55a77addf49cac82baf7b2e69599778b668889a2b3af98ccc6498 (3b9b124ff8a325340070de4676ced04dd6c9665c)
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- .gitattributes +8 -0
- sft/1M3/Full_smoe_share/logs/0616_2246_llava..._pope_llava_model_args_d02902/ai2d.json +0 -0
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| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"ai2d": {
|
| 4 |
+
"exact_match,flexible-extract": 0.680699481865285,
|
| 5 |
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"exact_match_stderr,flexible-extract": 0.008390912782034982,
|
| 6 |
+
"alias": "ai2d"
|
| 7 |
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},
|
| 8 |
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"mmbench_en_dev": {
|
| 9 |
+
"gpt_eval_score,none": 71.30584192439862,
|
| 10 |
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"gpt_eval_score_stderr,none": "N/A",
|
| 11 |
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|
| 12 |
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|
| 13 |
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"alias": "mmbench_en_dev"
|
| 14 |
+
},
|
| 15 |
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"mmerealworld_lite": {
|
| 16 |
+
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|
| 17 |
+
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|
| 18 |
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"alias": "mmerealworld_lite"
|
| 19 |
+
},
|
| 20 |
+
"mmmu_val": {
|
| 21 |
+
"mmmu_acc,none": 0.44,
|
| 22 |
+
"mmmu_acc_stderr,none": "N/A",
|
| 23 |
+
"alias": "mmmu_val"
|
| 24 |
+
},
|
| 25 |
+
"mmstar": {
|
| 26 |
+
"coarse perception,none": 0.690574239304507,
|
| 27 |
+
"coarse perception_stderr,none": "N/A",
|
| 28 |
+
"fine-grained perception,none": 0.3509702775730779,
|
| 29 |
+
"fine-grained perception_stderr,none": "N/A",
|
| 30 |
+
"instance reasoning,none": 0.5402148829115121,
|
| 31 |
+
"instance reasoning_stderr,none": "N/A",
|
| 32 |
+
"logical reasoning,none": 0.3802980298029803,
|
| 33 |
+
"logical reasoning_stderr,none": "N/A",
|
| 34 |
+
"math,none": 0.4136316047402655,
|
| 35 |
+
"math_stderr,none": "N/A",
|
| 36 |
+
"science & technology,none": 0.30111656500516865,
|
| 37 |
+
"science & technology_stderr,none": "N/A",
|
| 38 |
+
"alias": "mmstar"
|
| 39 |
+
},
|
| 40 |
+
"pope": {
|
| 41 |
+
"pope_accuracy,none": 0.8244444444444444,
|
| 42 |
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"pope_accuracy_stderr,none": "N/A",
|
| 43 |
+
"pope_precision,none": 0.9177939646201873,
|
| 44 |
+
"pope_precision_stderr,none": "N/A",
|
| 45 |
+
"pope_recall,none": 0.7931654676258992,
|
| 46 |
+
"pope_recall_stderr,none": "N/A",
|
| 47 |
+
"pope_f1_score,none": 0.8509406657018813,
|
| 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": 0.41262000023126605,
|
| 55 |
+
"exact_match_stderr,none": 0.006750530419153633,
|
| 56 |
+
"submission,none": null,
|
| 57 |
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"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 |
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"test_split": "test",
|
| 69 |
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"doc_to_visual": "<function ai2d_doc_to_visual at 0x7f8d7b36b1f0>",
|
| 70 |
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"doc_to_text": "<function ai2d_doc_to_text at 0x7f8d7b36b4c0>",
|
| 71 |
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"doc_to_target": "<function ai2d_doc_to_target at 0x7f8d7b36ba60>",
|
| 72 |
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"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 |
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"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 |
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"prompt_format": "mcq",
|
| 117 |
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"pre_prompt": "",
|
| 118 |
+
"post_prompt": "\nAnswer with the option's letter from the given choices directly."
|
| 119 |
+
},
|
| 120 |
+
"gpt4v": {
|
| 121 |
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"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 |
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},
|
| 125 |
+
"qwen_vl": {
|
| 126 |
+
"prompt_format": "qa",
|
| 127 |
+
"pre_prompt": "",
|
| 128 |
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"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 0x7f8dda5adb80>",
|
| 150 |
+
"doc_to_text": "<function mmbench_doc_to_text at 0x7f8dda5bb0d0>",
|
| 151 |
+
"doc_to_target": "answer",
|
| 152 |
+
"process_results": "<function mmbench_process_results at 0x7f8dda5bb5e0>",
|
| 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 0x7f8dda5ad430>",
|
| 160 |
+
"higher_is_better": true
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"metric": "submission",
|
| 164 |
+
"aggregation": "<function mmbench_aggregate_dev_results_submission at 0x7f8dda5ad940>",
|
| 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 0x7f8d7bb113a0>",
|
| 202 |
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"doc_to_text": "<function mme_realworld_doc_to_text at 0x7f8d7bb11e50>",
|
| 203 |
+
"doc_to_target": "answer",
|
| 204 |
+
"process_results": "<function mme_realworld_process_results at 0x7f8d7bb16af0>",
|
| 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 0x7f8d7bb1d670>",
|
| 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 |
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]
|
| 225 |
+
},
|
| 226 |
+
"repeats": 1,
|
| 227 |
+
"should_decontaminate": false,
|
| 228 |
+
"metadata": [
|
| 229 |
+
{
|
| 230 |
+
"version": 0.0
|
| 231 |
+
}
|
| 232 |
+
],
|
| 233 |
+
"model_specific_prompt_kwargs": {
|
| 234 |
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"default": {
|
| 235 |
+
"pre_prompt": "",
|
| 236 |
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"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 0x7f8d8d6cfe50>",
|
| 253 |
+
"doc_to_text": "<function mmmu_doc_to_text at 0x7f8d8d60bb80>",
|
| 254 |
+
"doc_to_target": "answer",
|
| 255 |
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"process_results": "<function mmmu_process_results at 0x7f8d8d427a60>",
|
| 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 0x7f8d8d3349d0>",
|
| 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 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"mmstar": {
|
| 288 |
+
"task": "mmstar",
|
| 289 |
+
"dataset_path": "Lin-Chen/MMStar",
|
| 290 |
+
"dataset_kwargs": {
|
| 291 |
+
"token": true
|
| 292 |
+
},
|
| 293 |
+
"test_split": "val",
|
| 294 |
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"doc_to_visual": "<function mmstar_doc_to_visual at 0x7f8d7b2c5820>",
|
| 295 |
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"doc_to_text": "<function mmstar_doc_to_text at 0x7f8d7b2c5ca0>",
|
| 296 |
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"doc_to_target": "answer",
|
| 297 |
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"process_results": "<function mmstar_process_results at 0x7f8d7b2cb1f0>",
|
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sft/1M3/Full_smoe_share/logs/0616_2315_llava...bench_llava_model_args_d02902/results/ocrbench_results.txt
ADDED
|
@@ -0,0 +1,18 @@
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|
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|
| 1 |
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######################### OCRBench #############################
|
| 2 |
+
Text Recognition(Total 300): 214
|
| 3 |
+
---------------- Details of Recognition Score ------------------
|
| 4 |
+
Regular Text Recognition(Total 50): 45
|
| 5 |
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Irregular Text Recognition(Total 50): 46
|
| 6 |
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Artistic Text Recognition(Total 50): 44
|
| 7 |
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Handwriting Recognition(Total 50): 19
|
| 8 |
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Digit String Recognition(Total 50): 39
|
| 9 |
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Non-Semantic Text Recognition(Total 50): 21
|
| 10 |
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----------------------------------------------------------------
|
| 11 |
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Scene Text-centric VQA(Total 200): 113
|
| 12 |
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----------------------------------------------------------------
|
| 13 |
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Doc-oriented VQA(Total 200): 26
|
| 14 |
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----------------------------------------------------------------
|
| 15 |
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Key Information Extraction(Total 200): 20
|
| 16 |
+
Handwritten Mathematical Expression Recognition(Total 100): 35
|
| 17 |
+
--------------------- Final Score ------------------------------
|
| 18 |
+
Final Score(Total 1000): 408
|
sft/1M3/Full_smoe_share/logs/0617_0056_llava...a_val_llava_model_args_d02902/rank0_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 0 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0057_llava...a_val_llava_model_args_d02902/rank1_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 1 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0057_llava...a_val_llava_model_args_d02902/rank2_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 2 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0057_llava...a_val_llava_model_args_d02902/rank3_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 3 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0149_llava...l_mme_llava_model_args_d02902/docvqa_val.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/1M3/Full_smoe_share/logs/0617_0149_llava...l_mme_llava_model_args_d02902/mme.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sft/1M3/Full_smoe_share/logs/0617_0149_llava...l_mme_llava_model_args_d02902/rank0_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 0 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0149_llava...l_mme_llava_model_args_d02902/rank1_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 1 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0149_llava...l_mme_llava_model_args_d02902/rank2_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 2 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0149_llava...l_mme_llava_model_args_d02902/rank3_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
rank 3 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0149_llava...l_mme_llava_model_args_d02902/results.json
ADDED
|
@@ -0,0 +1,293 @@
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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 |
+
"docvqa_val": {
|
| 4 |
+
"anls,none": 0.2809871003925967,
|
| 5 |
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"anls_stderr,none": 0.00614632941957025,
|
| 6 |
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"alias": "docvqa_val"
|
| 7 |
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},
|
| 8 |
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"mme": {
|
| 9 |
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"mme_cognition_score,none": 342.1428571428571,
|
| 10 |
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"mme_cognition_score_stderr,none": "N/A",
|
| 11 |
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"mme_percetion_score,none": 1284.4185674269709,
|
| 12 |
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"mme_percetion_score_stderr,none": "N/A",
|
| 13 |
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"alias": "mme"
|
| 14 |
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},
|
| 15 |
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"scienceqa_full": {
|
| 16 |
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"exact_match,none": 0.8541067433684884,
|
| 17 |
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"exact_match_stderr,none": 0.01102086886933664,
|
| 18 |
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"alias": "scienceqa_full"
|
| 19 |
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},
|
| 20 |
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"scienceqa": {
|
| 21 |
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"exact_match,none": 0.8632398019335062,
|
| 22 |
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"exact_match_stderr,none": 0.005276703120644485,
|
| 23 |
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"alias": " - scienceqa"
|
| 24 |
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},
|
| 25 |
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"scienceqa_img": {
|
| 26 |
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"exact_match,none": 0.8349033217649975,
|
| 27 |
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"exact_match_stderr,none": 0.008268790681874767,
|
| 28 |
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"alias": " - scienceqa_img"
|
| 29 |
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}
|
| 30 |
+
},
|
| 31 |
+
"groups": {
|
| 32 |
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"scienceqa_full": {
|
| 33 |
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"exact_match,none": 0.8541067433684884,
|
| 34 |
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"exact_match_stderr,none": 0.01102086886933664,
|
| 35 |
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"alias": "scienceqa_full"
|
| 36 |
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}
|
| 37 |
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},
|
| 38 |
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"configs": {
|
| 39 |
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"docvqa_val": {
|
| 40 |
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"task": "docvqa_val",
|
| 41 |
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"dataset_path": "lmms-lab/DocVQA",
|
| 42 |
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"dataset_name": "DocVQA",
|
| 43 |
+
"dataset_kwargs": {
|
| 44 |
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"token": true
|
| 45 |
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},
|
| 46 |
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"test_split": "validation",
|
| 47 |
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"doc_to_visual": "<function docvqa_doc_to_visual at 0x7f6c6cb88310>",
|
| 48 |
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"doc_to_text": "<function docvqa_doc_to_text at 0x7f6c6cb88670>",
|
| 49 |
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"doc_to_target": "answers",
|
| 50 |
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"description": "",
|
| 51 |
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"target_delimiter": " ",
|
| 52 |
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"fewshot_delimiter": "\n\n",
|
| 53 |
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"metric_list": [
|
| 54 |
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{
|
| 55 |
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"metric": "anls",
|
| 56 |
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"aggregation": "mean",
|
| 57 |
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"higher_is_better": true
|
| 58 |
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}
|
| 59 |
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],
|
| 60 |
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"output_type": "generate_until",
|
| 61 |
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"generation_kwargs": {
|
| 62 |
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"max_new_tokens": 32,
|
| 63 |
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"temperature": 0.0,
|
| 64 |
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"do_sample": false,
|
| 65 |
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"until": [
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| 66 |
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"\n\n"
|
| 67 |
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]
|
| 68 |
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},
|
| 69 |
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"repeats": 1,
|
| 70 |
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"should_decontaminate": false,
|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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"post_prompt": "\nAnswer the question using a single word or phrase."
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| 75 |
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},
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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|
| 80 |
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| 81 |
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| 82 |
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"mme": {
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| 83 |
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"task": "mme",
|
| 84 |
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"dataset_path": "lmms-lab/MME",
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| 85 |
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| 86 |
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|
| 87 |
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| 88 |
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"doc_to_text": "<function mme_doc_to_text at 0x7f6cbb4cb820>",
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"doc_to_target": "answer",
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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|
| 98 |
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"metric": "mme_percetion_score",
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| 99 |
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"aggregation": "<function mme_aggregate_results at 0x7f6cb9abe310>",
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| 100 |
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"higher_is_better": true
|
| 101 |
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},
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| 102 |
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{
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| 103 |
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"metric": "mme_cognition_score",
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| 104 |
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"aggregation": "<function mme_aggregate_results at 0x7f6cb9abe790>",
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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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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| 119 |
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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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"default": {
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| 128 |
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| 129 |
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| 130 |
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},
|
| 131 |
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"gpt4v": {
|
| 132 |
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|
| 133 |
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"post_prompt": "\nAnswer the question with Yes or No."
|
| 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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"otterhd": {
|
| 140 |
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|
| 141 |
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|
| 142 |
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},
|
| 143 |
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"xcomposer2_4khd": {
|
| 144 |
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"pre_prompt": "[UNUSED_TOKEN_146]user\n",
|
| 145 |
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"post_prompt": " Answer this question briefly[UNUSED_TOKEN_145]\n[UNUSED_TOKEN_146]assistant\n"
|
| 146 |
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}
|
| 147 |
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}
|
| 148 |
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},
|
| 149 |
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"scienceqa": {
|
| 150 |
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"task": "scienceqa",
|
| 151 |
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"dataset_path": "lmms-lab/ScienceQA",
|
| 152 |
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|
| 153 |
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| 154 |
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"token": true
|
| 155 |
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| 156 |
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| 164 |
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| 165 |
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{
|
| 166 |
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|
| 167 |
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|
| 168 |
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"higher_is_better": true,
|
| 169 |
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"ignore_case": true,
|
| 170 |
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"ignore_punctuation": true
|
| 171 |
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}
|
| 172 |
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],
|
| 173 |
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"output_type": "generate_until",
|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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"do_sample": false,
|
| 178 |
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"until": [
|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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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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"default": {
|
| 192 |
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"format": "default",
|
| 193 |
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|
| 194 |
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"post_prompt": "\nAnswer with the option's letter from the given choices directly."
|
| 195 |
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|
| 196 |
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"qwen_vl": {
|
| 197 |
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"format": "qwen_vl"
|
| 198 |
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}
|
| 199 |
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},
|
| 200 |
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"model_specific_generation_kwargs": {
|
| 201 |
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"llava": {
|
| 202 |
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"image_aspect_ratio": "original"
|
| 203 |
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}
|
| 204 |
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}
|
| 205 |
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},
|
| 206 |
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"scienceqa_img": {
|
| 207 |
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"task": "scienceqa_img",
|
| 208 |
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ADDED
|
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sft/1M3/Full_smoe_share/logs/0617_0253_llava...l_mme_llava_model_args_d02902/rank0_metric_eval_done.txt
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|
@@ -0,0 +1 @@
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| 1 |
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rank 0 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0253_llava...l_mme_llava_model_args_d02902/rank1_metric_eval_done.txt
ADDED
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rank 1 eval done
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sft/1M3/Full_smoe_share/logs/0617_0253_llava...l_mme_llava_model_args_d02902/rank2_metric_eval_done.txt
ADDED
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rank 2 eval done
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sft/1M3/Full_smoe_share/logs/0617_0253_llava...l_mme_llava_model_args_d02902/rank3_metric_eval_done.txt
ADDED
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rank 3 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0253_llava...l_mme_llava_model_args_d02902/results.json
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{
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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| 28 |
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| 168 |
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| 169 |
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{
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| 170 |
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| 171 |
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|
| 172 |
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|
| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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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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| 197 |
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"mme": "Yaml",
|
| 198 |
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"scienceqa_img": "Yaml"
|
| 199 |
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| 200 |
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"n-shot": {
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| 201 |
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| 204 |
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| 207 |
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| 208 |
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| 209 |
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| 210 |
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| 212 |
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| 213 |
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| 215 |
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sft/1M3/Full_smoe_share/logs/0617_0304_llava...a_val_llava_model_args_d02902/infovqa_val.json
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|
@@ -0,0 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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size 576438238
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sft/1M3/Full_smoe_share/logs/0617_0304_llava...a_val_llava_model_args_d02902/mmmu_pro_standard.json
ADDED
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sft/1M3/Full_smoe_share/logs/0617_0304_llava...a_val_llava_model_args_d02902/mmmu_pro_vision.json
ADDED
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sft/1M3/Full_smoe_share/logs/0617_0304_llava...a_val_llava_model_args_d02902/rank0_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
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rank 0 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0304_llava...a_val_llava_model_args_d02902/rank1_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
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rank 1 eval done
|
sft/1M3/Full_smoe_share/logs/0617_0304_llava...a_val_llava_model_args_d02902/rank2_metric_eval_done.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
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rank 2 eval done
|