Update README.md

README.md

@@ -15,8 +15,11 @@ This repository contains the PyTorch version of the InternVL model weights.
 
 InternVL scales up the ViT to _**6B parameters**_ and aligns it with LLM.
 
+It is trained using web-scale, noisy image-text pairs. The data are all publicly available and comprise multilingual content, including LAION-en, LAION-multi, LAION-COCO, COYO, Wukong, CC12M, CC3M, and SBU. 
+
 It is _**the largest open-source vision/vision-language foundation model (14B)**_ to date, achieving _**32 state-of-the-art**_ performances on a wide range of tasks such as visual perception, cross-modal retrieval, multimodal dialogue, etc.
 
+
 # Pretrained Weights
 
 | model name              | type    | download                                                                                       |  size   |
@@ -24,13 +27,13 @@ It is _**the largest open-source vision/vision-language foundation model (14B)**
 | InternViT-6B-224px      | pytorch | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL/blob/main/intern_vit_6b_224px.pth)      |  12 GB  |
 | InternVL-C-13B-224px |   pytorch   | 🤗 [HF link](https://huggingface.co/OpenGVLab/InternVL/blob/main/internvl_c_13b_224px.pth) | 25.4 GB |
 
-# Linear-Probe Image Classification
+# Linear-Probe Image Classification (ImageNet Series)
 
 | model name         | IN-1K | IN-ReaL | IN-V2 | IN-A | IN-R | IN-Sketch |                                                                                                         download                                                                                                  |
 | ------------------ | :---: | :-----: | :---: | :--: | :--: | :-------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
 | InternViT-6B-224px | 88.2  |  90.4   | 79.9  | 77.5 | 89.8 |   69.1    | [ckpt](https://huggingface.co/OpenGVLab/InternVL/resolve/main/intern_vit_6b_224px_head.pth) \| [log](https://github.com/OpenGVLab/InternVL/blob/main/classification/work_dirs/intern_vit_6b_1k_224/log_rank0.txt) |
 
-# Semantic Segmentation
+# Semantic Segmentation (ADE20K)
 
 | type            | backbone              |  head   | mIoU |                                                   config                                                   |                                                                                                                      download                                                                                                                       |
 | --------------- | --------------------- | :-----: | :--: | :--------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
@@ -43,7 +46,6 @@ It is _**the largest open-source vision/vision-language foundation model (14B)**
 | head tuning     | InternViT-6B (frozen) | UperNet | 54.9 |  [config](https://github.com/OpenGVLab/InternVL/blob/main/segmentation//configs/intern_vit_6b/head_tuning/upernet_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_frozen.py)  | [ckpt](https://huggingface.co/OpenGVLab/InternVL/resolve/main/upernet_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_frozen.pth) \| [log](https://huggingface.co/OpenGVLab/InternVL/raw/main/upernet_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_frozen.log) |
 | full tuning     | InternViT-6B          | UperNet | 58.9 |     [config](https://github.com/OpenGVLab/InternVL/blob/main/segmentation//configs/intern_vit_6b/full_tuning/upernet_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5.py)      |        [ckpt](https://huggingface.co/OpenGVLab/InternVL/resolve/main/upernet_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5.pth) \| [log](https://huggingface.co/OpenGVLab/InternVL/raw/main/upernet_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5.log)        |
 
-
 # License
 This project is released under the MIT license. Parts of this project contain code and models from other sources, which are subject to their respective licenses.