Update OtterHD-8B with GPT4V evaluation on 8

benchmarks

README.md

@@ -47,7 +47,7 @@ For who in the mainland China: [![Open in OpenXLab](https://cdn-static.openxlab.
 
 ## 🦾 Update
 
-**[2023-11]: Anouncing OtterHD-8B, improved from Fuyu-8B. Checkout [OtterHD](./docs/OtterHD.md) for details.**
+**[2023-11]: Supporting GPT4V's Evaluation on 8 Benchmarks; Anouncing OtterHD-8B, improved from Fuyu-8B. Checkout [OtterHD](./docs/OtterHD.md) for details.**
 
 <div style="text-align:center">
 <img src="https://i.postimg.cc/dtxQQzt6/demo0.png"  width="100%" height="100%">
@@ -57,7 +57,7 @@ For who in the mainland China: [![Open in OpenXLab](https://cdn-static.openxlab.
 2. 🔍 Added [MagnifierBench](./docs/OtterHD.md), an evaluation benchmark tailored to assess whether the model can identify the tiny objects' information (1% image size) and spatial relationships.
 3. Improved pipeline for [Pretrain](pipeline/train/pretraining.py) | [SFT](pipeline/train/instruction_following.py) | [RLHF]() with (part of) current leading LMMs.
    1. **Models**: [Otter](https://arxiv.org/abs/2305.03726) | [OpenFlamingo](https://arxiv.org/abs/2308.01390) | [Idefics](https://huggingface.co/HuggingFaceM4/idefics-80b-instruct) | [Fuyu](https://huggingface.co/adept/fuyu-8b)
-   2. **Training Datasets Interface**: (Pretrain) MMC4 | LAION2B | CC3M | CC12M, (SFT) MIMIC-IT | M3IT | LLAVAR | LRV | SVIT...
+   2. **Training Datasets Interface: (Pretrain)** MMC4 | LAION2B | CC3M | CC12M, **(SFT)** MIMIC-IT | M3IT | LLAVAR | LRV | SVIT...
     - *We tested above datasets for both pretraining and instruction tuning with OpenFlamingo and Otter. We also tested the datasets with Idefics and Fuyu for instruction tuning. We will opensource the training scripts gradually.*
    3. [**Benchmark Interface**](https://huggingface.co/Otter-AI): MagnifierBench/MMBench/MM-VET/MathVista/POPE/MME/SicenceQA/SeedBench. Run them can be in one-click, please see [Benchmark](./docs/benchmark_eval.md) for details.
    4. **Code refactorization** for **organizing multiple groups of datasets with integrated yaml file**, see details at [managing datasets in MIMIC-IT format](docs/mimicit_format.md). For example,