Ubuntu a12a8714e4 creating vqa pairs with structured data for both labeled and unlabeled data

2025-08-26 09:50:40 +00:00

..

dev-vqa

add vqa for label and unlabel

2025-08-18 19:49:41 +00:00

create_question_answering_pairs.py

[Fix] prompt templates

2025-08-08 22:16:45 +00:00

create_vqa_pairs.py

creating vqa pairs with structured data for both labeled and unlabeled data

2025-08-26 09:50:40 +00:00

create_vqa.py

[Init] Init easy distill for Knowledge distillation

2025-08-07 08:38:26 +00:00

exporting.py

exporting model after lora

2025-08-25 16:56:09 +00:00

facture_json_schema.json

[Add] Subfield VQA Generation

2025-08-08 22:16:14 +00:00

infer_chunk.py

infer with chunk of 50 data for avoiding OOM

2025-08-25 07:03:17 +00:00

infer.log

[Init] Init easy distill for Knowledge distillation

2025-08-07 08:38:26 +00:00

infer.py

[Init] Init easy distill for Knowledge distillation

2025-08-07 08:38:26 +00:00

logits.json

[Init] Init easy distill for Knowledge distillation

2025-08-07 08:38:26 +00:00

mllm_demo_distill.json

[Init] Init easy distill for Knowledge distillation

2025-08-07 08:38:26 +00:00

prompt_templates.json

[Fix] prompt templates

2025-08-08 22:16:45 +00:00

runner.py

infer with chunk of 50 data for avoiding OOM

2025-08-25 07:03:17 +00:00

system_prompts.txt

[Add] Subfield VQA Generation

2025-08-08 22:16:14 +00:00

train_lora.py

add lora to training

2025-08-20 10:13:19 +00:00

train.py

add mmkd, white mmkd

2025-07-24 11:27:11 +08:00

vqa.json

[Init] Init easy distill for Knowledge distillation

2025-08-07 08:38:26 +00:00